2009

Jacomo Corbo and Yevgeniy Vorobeychik. The Effects of Quality and Price on Adoption Dynamics of Competing Technologies. (ICIS, 2009)

Quang Duong, Yevgeniy Vorobeychik, Satinder Singh, and Michael P. Wellman. Learning Graphical Game Models. (IJCAI, 2009, 116-121)

Yevgeniy Vorobeychik. Simulation-Based Game Theoretic Analysis of Keyword Auctions with Low-Dimensional Bidding Strategies. (UAI, 2009)

Yevgeniy Vorobeychik and Michael P. Wellman. Strategic Analysis with Simulation-Based Games. (WSC, 2009, 359-372)

Yevgeniy Vorobeychik. Simulation-Based Analysis of Keyword Auctions. (SIGecom Exchanges, 8(1), 2009)

Yevgeniy Vorobeychik and Isaac Porche. Game-theoretic methods for analysis of tactical decision-making using agent-based combat simulations. (Military Operations Research, 14(4):21-39, 2009)

2008

Yevgeniy Vorobeychik and Daniel M. Reeves. Equilibrium Analysis of Dynamic Bidding in Sponsored Search Auctions. (International Journal of Electronic Business, 6(2):172-193, 2008)

Yevgeniy Vorobeychik and Michael P. Wellman. Stochastic Search Methods for Nash Equilibrium Approximation in Simulation-Based Games. (AAMAS 2008)

Patrick Jordan, Yevgeniy Vorobeychik, and Michael P. Wellman. Searching for Approximate Equilibria in Empirical Games. (AAMAS 2008)

Yevgeniy Vorobeychik Mechanism Design and Analysis Using Simulation-Based Game Models. (Ph.D. Thesis)

2007

Yevgeniy Vorobeychik, Michael P . Wellman, and Satinder Singh. Learning Payoff Functions in Infinite Games. (Machine Learning, 67(2):145-168, 2007)

2006

Yevgeniy Vorobeychik and Michael P. Wellman. Mechanism Design Based on Beliefs about Responsive Play (Position Paper). (ACM EC '06 Workshop on Alternative Solution Concepts for Mechanism Design)

Yevgeniy Vorobeychik, Christopher Kiekintveld, and Michael P. Wellman. Empirical Mechanism Design: Methods, with Application to a Supply Chain Scenario. (ACM EC '06)

Christopher Kiekintveld, Yevgeniy Vorobeychik, and Michael Wellman. An Analysis of the 2004 Supply Chain Management Trading Agent Competition. (Lecture Notes in Artificial Intelligence 3937:99-112, 2006)

Joshua Estelle, Yevgeniy Vorobeychik, Michael Wellman, Satinder Singh, Christopher Kiekintveld, and Vishal Soni. Strategic Interactions in the TAC 2003 Supply Chain Tournament. (Lecture Notes in Computer Science 3846:316-331, 2006)

2005

Michael P. Wellman, Joshua Estelle, Satinder Singh, Yevgeniy Vorobeychik, Christopher Kiekintveld, and Vishal Soni. Strategic Interactions in a Supply Chain Game. (Computational Intelligence, 21(1):1-26, 2005.)

2004

Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, and Yevgeniy Vorobeychik. Price Prediction in a Trading Agent Competition. (Journal of Artificial Intelligence Research 21:19-36, 2004.)

Christopher Kiekintveld, Michael Wellman, Satinder Singh, Joshua Estelle, Yevgeniy Vorobeychik, Vishal Soni, Matthew Rudary. Distributed Feedback Control for Decision Making on Supply Chains. (ICAPS, 2004)

Shih-Fen Cheng, Daniel M. Reeves, Yevgeniy Vorobeychik, and Michael P. Wellman. Notes on Equilibria in Symmetric Games. (AAMAS-04 Workshop on Game Theory and Decision Theory, 2004)

Unpublished

2008

Jacomo Corbo and Yevgeniy Vorobeychik. The Effects of Quality and Price on Adoption Dynamics of Competing Technologies. (Working paper)

Vincent Conitzer and Yevgeniy Vorobeychik Automated Mechanism Design: Approaches and Applications. (Tutorial, EC 2008, IJCAI 2009, AAMAS 2009)

2006

Yevgeniy Vorobeychik. Mechanism Design and Analysis Using Empirical Game Models. (Thesis proposal, 2006)

2002

Daniel Peek, L Julian Schvartzman, and Yevgeniy Vorobeychik. Dynamic Group Membership and Quiescence in a Supply Chain.
Yevgeniy Vorobeychik. Decentralized Markets versus Central Control.
Zaher Andrawis, Anthony Nicholson, Yevgeniy Vorobeychik. File Prefetching Using On-Line Learning.

2002 Undergraduate

Yevgeniy Vorobeychik. File Access Patterns in Coda Distributed File System.
Yevgeniy Vorobeychik. Comparative Analysis of the Economic Transition of Belarus and Ukraine.
Yevgeniy Vorobeychik. The Controversy Over Butz.

2001

Yevgeniy Vorobeychik. Life History Critique: Richard Werbner's Tears of the Dead.
Yevgeniy Vorobeychik. Between Two Worlds: The Story of a Russian Immigrant (ethnographic study).

2010

Stephen Judd, Michael Kearns, and Yevgeniy Vorobeychik. Behavioral Dynamics and Influence in Networked Coloring and Consensus. (Proceedings of the National Academy of Sciences, 107(34):14978-14982, 2010)

Quang Duong, Michael P. Wellman, Satinder Singh, and Yevgeniy Vorobeychik. History-Dependent Graphical Multiagent Models. (AAMAS, 2010)

Yevgeniy Vorobeychik and Yagil Engel. Incentive Analysis of Approximately Efficient Allocation Algorithms. (AAMAS, 2010)

Yevgeniy Vorobeychik. Probabilistic analysis of simulation-based games. (ACM Transactions on Modeling and Computer Simulation 20(3):No. 16, 2010)

John Langford, Lihong Li, Yevgeniy Vorobeychik, and Jennifer Wortman. Maintaining Equilibria During Exploration in Sponsored Search Auctions. (Algorithmica, 2010, to appear; short version appeared in WINE 2007)

2011

Stephen Judd, Michael Kearns, and Yevgeniy Vorobeychik. Behavioral Conflict and Fairness in Social Networks. (WINE, 2011)

Yevgeniy Vorobeychik, Jackson R. Mayo, Robert C. Armstrong, and Joseph Ruthruff. Noncooperatively Optimized Tolerance: Decentralized Strategic Optimization in Complex Systems. (Physical Review Letters, 107(10):108702, 2011.)

C. Seshadhri, Yevgeniy Vorobeychik, Jackson R. Mayo, Robert C. Armstrong, and Joseph Ruthruff. Influence and Dynamic Behavior in Random Boolean Networks. (Physical Review Letters, 107(10):108701, 2011.)

Yevgeniy Vorobeychik and Yagil Engel. Average-Case Analysis of VCG with Resource Allocation Algorithms. (Decision Support Systems, 51(3):648-656, 2011)

Yevgeniy Vorobeychik, Jackson R. Mayo, Robert C. Armstrong, Ronald G. Minnich, and Don W. Rudish. Fault Oblivious High Performance Computing with Dynamic Task Replication and Substitution. (ISC, 2011)

Yevgeniy Vorobeychik. A Game Theoretic Bidding Agent for the Ad Auction Game. (ICAART, 2011)

2012

Joshua Letchford and Yevgeniy Vorobeychik. Computing optimal security strategies for interdependent assets. (UAI, 2012)

Yevgeniy Vorobeychik and Satinder Singh. Computing Stackelberg equilibria in discounted Stochastic games. (AAAI, 2012; corrected version)

Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, and Yevgeniy Vorobeychik. Security games with limited surveillance. (AAAI, 2012)

Michael Kearns, Stephen Judd, and Yevgeniy Vorobeychik. Behavioral experiments on a network formation game. (EC, 2012)

Yevgeniy Vorobeychik, Daniel M. Reeves, and Michael P. Wellman. Constrained Automated Mechanism Design for Infinite Games of Incomplete Information. (Journal of Autonomous Agents and Multiagent Systems, 25(2):313-351, 2012.)

2013

Yan Deng, Siqian Shen, and Yevgeniy Vorobeychik. Optimal decision making in disease prevention and epidemic control. (Mathematical Biosciences, 246(1):213-227, 2013).

Jason Tsai, Yundi Qian, Yevgeniy Vorobeychik, Christopher Kiekintveld, and Milind Tambe. Bayesian Security Games for Controlling Contagion. (SocialCom, 2013).

Joshua Letchford and Yevgeniy Vorobeychik. Optimal interdiction of attack plans [long version]. (AAMAS, 2013)

Bo An, Matthew Brown, Yevgeniy Vorobeychik, and Milind Tambe. Security Games with Surveillance Cost and Optimal Timing of Attack Execution. (AAMAS, 2013)

Jason Tsai, Yundi Qian, Christopher Kiekintveld, Yevgeniy Vorobeychik, and Milind Tambe. Security Games with Contagion: Handling Asymmetric Information [Extended Abstract]. (AAMAS, 2013).

Yevgeniy Vorobeychik, Michael Z. Lee, Adam Anderson, Mitch Adair, William Atkins, Alan Berryhill, Dominic Chen, Ben Cook, Jeremy Erickson, Steve Hurd, Ron Olsberg, Lyndon Pierson, and Owen Redwood. Fireaxe: The DHS Secure Design Competition Pilot. (CSIIRW, 2013)

2014

Bo Li and Yevgeniy Vorobeychik. Feature cross-substitution in adversarial classification. (NIPS, 2014; supplement)

Waseem Abbas, Sajal Bhatia, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Immunization against infection propagation in heterogeneous networks. (NCA, 2014).

Waseem Abbas, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Resilient consensus protocol in the presence of trusted nodes. (ISRCS, 2014).

Yevgeniy Vorobeychik and Bo Li. Optimal randomized classification in adversarial settings. (AAMAS, 2014).

Yevgeniy Vorobeychik, Bo An, Milind Tambe, and Satinder Singh. Computing solutions in infinite-horizon discounted adversarial patrolling games. (ICAPS, 2014).

Yevgeniy Vorobeychik and John Ross Wallrabenstein. Using Machine Learning for Operational Decisions in Adversarial Environments. (OPTMAS, 2014).

Mark Yampolskiy, Yevgeniy Vorobeychik, Xenofon Koutsoukos, Peter Horvath, Heath Leblanc, and Janos Sztipanovits. Resilient distributed consensus for tree topology. (HiCoNS, 2014).

Yue Yin, Bo An, Yevgeniy Vorobeychik, and Jun Zhuang. Optimal Deceptive Strategies in Security Games: A Preliminary Study. (AAAI Spring Symposium on Applied Computational Game Theory, 2014).

2015

Bo Li, Yevgeniy Vorobeychik, Rachel Li, and Bradley Malin. Iterative classification for sanitizing large-scale datasets. (ICDM, 2015).

Nika Haghtalab, Aron Laszka, Ariel Procaccia, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Monitoring stealthy diffusion. (ICDM, 2015).

Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Resilient observation selection in adversarial settings. (CDC, 2015).

Weiyi Xia, Murat Kantarciogul, Zhiyu Wan, Raymond Heatherly, Yevgeniy Vorobeychik, and Bradley Malin. Process-driven data privacy. (CIKM, 2015).

Jian Lou and Yevgeniy Vorobeychik. Equilibrium analysis of multi-defender security games. (IJCAI, 2015).

Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Clayton, Murat Kantarcioglu, Ranjit Ganta, Raymond Heatherly, and Bradley Malin. A game theoretic framework for analyzing re-identification risk. (PLoS One, 2015, 10(3):e0120592).

Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Integrity Assurance in Resource-Bounded Systems through Stochastic Message Authentication. (HotSoS, 2015).

Swetasudha Panda and Yevgeniy Vorobeychik. Stackelberg games for vaccine design. (AAMAS, 2015).

Haifeng Zhang, Yevgeniy Vorobeychik, Joshua Letchford, and Kiran Lakkaraju. Data-Driven Agent-Based Modeling, with Application to Rooftop Solar Adoption. (AAMAS, 2015). Implementation

Haifeng Zhang, Ariel Procaccia, and Yevgeniy Vorobeychik. Dynamic Influence Maximization Under Increasing Returns to Scale. (AAMAS, 2015). Best Paper Award (finalist)

Bo Li and Yevgeniy Vorobeychik. Scalable optimization of randomized operational decisions in adversarial classification settings. (AISTATS, 2015).

Jiarui Gan, Bo An, and Yevgeniy Vorobeychik. Security games with protection externalities. (AAAI, 2015; appendix).

Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Optimal personalized filtering against spear-phishing attacks. (AAAI, 2015).

Mason Wright and Yevgeniy Vorobeychik. Mechanism design for team formation (extended version). (AAAI, 2015). Implementation

Yevgeniy Vorobeychik and Joshua Letchford. Securing interdependent assets. (Journal of Autonomous Agents and Multiagent Systems, 29(2):305-333, 2015).

Yevgeniy Vorobeychi, Steven Kimbrough, and Howard Kunreuther. A Framework for Computational Strategic Analysis: Applications to Iterated Interdependent Security Games. (Computational Economics, 45(3):469-500, 2015).

2016

C. Seshadhri, Andrew M. Smith, Yevgeniy Vorobeychik, Jackson R. Mayo, and Robert C. Armstrong. Characterizing short-term stability for Boolean networks over any distribution of transfer functions. (Physical Review E, 94:012301, 2016).

Muqun Li, David Carrell, John Aberdeen, Lynette Hirschman, Jacqueline Kirby, Bo Li, Yevgeniy Vorobeychik, Bradley A Malin. Optimizing annotation resources for natural language de-identification via a game theoretic framework. (Journal of Biomedical Informatics, 61(C):97-109, 2016).

Bo Li, Yining Wang, Aarti Singh, and Yevgeniy Vorobeychik. Data poisoning attacks on factorization-based collaborative filtering. (NIPS, 2016).

Ayan Mukhopadhyay, Yevgeniy Vorobeychik, Chao Zhang, Milind Tambe, Kenneth Pence, and Paul Speer. Optimal allocation of police patrol resources using a continuous-time crime model. (GameSec, 2016).

Amin Ghafouri, Waseem Abbas, Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Optimal thresholds for anomaly-based intrusion detection in dynamical environments. (GameSec, 2016).

Amin Ghafouri, Waseem Abbas, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Vulnerability of Fixed-Time Control of Signalized Intersections to Cyber-Tampering. (ISRCS, 2016).

John Nay and Yevgeniy Vorobeychik. Predicting human cooperation. (PLoS One, 11(5):e0155656, 2016).

Yevgeniy Vorobeychik. Adversarial AI. (IJCAI, 2016); Spotlight Presentation.

Yue Yin, Yevgeniy Vorobeychik, Bo An and Noam Hazon. Optimally protecting elections. (IJCAI, 2016).

Aron Laszka, Waseem Abbas, Shankar Sastry, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Optimal thresholds for intrusion detection systems. (HotSoS, 2016).

Jian Lou and Yevgeniy Vorobeychik. Decentralization and security in dynamic traffic light control. (HotSoS, 2016).

Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, and Milind Tambe. Using abstractions to solve opportunistic crime security games at scale. (AAMAS, 2016).

Qingyu Guo, Bo An, Yevgeniy Vorobeychik, Long Tran-Thanh, Jiarui Gan, and Chunyan Miao. Coalitional security games. (AAMAS, 2016).

Aron Laszka, Bradley Potteiger, Yevgeniy Vorobeychik, Saurabh Amin, and Xenofon Koutsoukos. Vulnerability of transportation networks to traffic-signal tampering. (ICCPS, 2016).

Liyiming Ke, Bo Li, and Yevgeniy Vorobeychik. Behavioral experiments in email filter evasion. (AAAI, 2016; Supplement; Data).

Haifeng Zhang and Yevgeniy Vorobeychik. Submodular optimization with routing constraints. (AAAI, 2016; extended version).

Aron Laszka, Jian Lou, and Yevgeniy Vorobeychik. Multi-defender strategic filtering against spear-phishing attacks. (AAAI, 2016).

Haifeng Zhang, Yevgeniy Vorobeychik, Joshua Letchford, and Kiran Lakkaraju. Data-driven agent-based modeling, with application to rooftop solar adoption. (Journal of Autonomous Agents and Multiagent Systems, 30(6):1023-1049, 2016).

2017

Chang Liu, Bo Li, Yevgeniy Vorobeychik, and Alina Oprea. Robust Linear Regression Against Training Data Poisoning. (AISec, 2017, Best Paper Award).

Weiyi Xia, Zhiyu Wan, Zhijun Yin, James Gaupp, Yongtai Liu, Ellen Wright Clayton, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Bradley A. Malin. It's All in the Timing: Calibrating Temporal Penalties for Biomedical Data Sharing. (Journal of the American Medical Informatics Association, 2017.)

Swetasudha Panda and Yevgeniy Vorobeychik. Near-optimal interdiction of factored MDPs. (UAI, 2017).

Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley Malin. Controlling the Signal: Practical Protection of Genomic Data Sharing In Beacon Services. (BMC Medical Genomics, 10(2):39, 2017).

Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. A game-theoretic approach for integrity assurance in resource-bounded systems. (International Journal of Information Security, 2017, to appear).

Nika Haghtalab, Aron Laszka, Ariel D. Procaccia, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Monitoring stealthy diffusions. (Knowledge and Information Systems, 2017, to appear.)

Bo Li, Yevgeniy Vorobeychik, Muqun Li, and Bradley Malin. An Iterative Classification Scheme for Sanitizing Large-Scale Datasets. (IEEE Transactions on Knowledge and Data Engineering, 2017, to appear).

Andrew M. Smith, Jackson Mayo, Vivian Kammler, Robert C. Armstrong and Yevgeniy Vorobeychik. Using computational game theory to guide verification and security in hardware designs. (HOST, 2017).

Haifeng Zhang, Yevgeniy Vorobeychik, and Ariel Procaccia. Multi-channel marketing with budget complementarities. (AAMAS, 2017).

Ayan Mukhopadhyay, Yevgeniy Vorobeychik, Gautam Biswas, and Abhishek Dubey. Prioritized allocation of emergency responders based on a continuous-time incident prediction model. (AAMAS, 2017).

Waseem Abbas, Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Improving network connectivity using trusted nodes and edges. (ACC, 2017).

Bo Li, Kevin Roundy, Chris Gates and Yevgeniy Vorobeychik. Large-scale identification of malicious singleton files. (CODASPY, 2017).

Jiarui Gan, Bo An, Yevgeniy Vorobeychik, and Brian Gauch. Security games on a plane. (AAAI, 2017).

Yevgeniy Vorobeychik, Zlatko Joveski, and Sixie Yu. Does communication help people coordinate? (PLoS One, 12(2):e0170780, 2017.)

Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Ellen Wright Clayton, Murat Kantarcioglu, and Bradley Malin. Expanding Access to large-scale genomic data while promoting privacy: a game theoretic approach. (The American Journal of Human Genetics, 100(2):316-322, 2017).

Andrew Smith, Jian Lou, and Yevgeniy Vorobeychik. Multidefender security games. (IEEE Intelligent Systems, 32(1):50-60).

Tutorial on GT + Cybersecurity and Privacy.

2018

Yevgeniy Vorobeychik and Murat Kantarcioglu. Adversarial Machine Learning. Morgan & Claypool, 2018.

Bo Li and Yevgeniy Vorobeychik. Evasion-robust classification on binary domains. (ACM Transactions on Knowledge Discovery from Data, 2018, to appear).

Yue Yin, Bo An, Noam Hazon, and Yevgeniy Vorobeychik. Optimal Defense Against Election Control by Deleting Voter Groups. (Artificial Intelligence, 259:32-51, 2018).

Waseem Abbas, Aron Laszka, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Scheduling Resource-Bounded Monitoring Devices for Event Detection and Isolation in Networks. (IEEE Transactions on Network Science and Engineering, 5(1):65-78, 2018).

Alexander M Sevy, Swetasudha Panda, James E Crowe Jr, Jens Meiler, and Yevgeniy Vorobeychik. Integrating linear optimization with structural modeling to increase HIV neutralization breadth. (PLoS Computational Biology, 2018, to appear).

Chao Yan, Aron Laszka, Bo Li, Yevgeniy Vorobeychik, Daniel Fabbri, and Bradley Malin. Get your workload in order: game theoretic prioritization of database auditing. (ICDE, 2018).

Liang Tong, Sixie Yu, Scott Alfeld, and Yevgeniy Vorobeychik. Adversarial regression with multiple learners. (ICML, 2018).

Bryan Wilder and Yevgeniy Vorobeychik. Controlling Elections through Social Influence. (AAMAS, 2018).

Sixie Yu, Yevgeniy Vorobeychik, and Scott Alfeld. Adversarial Classification on Social Networks. (AAMAS, 2018).

Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Milind Tambe, Phebe Vayanos, Fei Fang, Long Tran-Thanh, and Yevgeniy Vorobeychik. Deceiving Cyber Adversaries: A Game Theoretic Approach. (AAMAS, 2018).

Ayan Mukhopadhyay, Zilin Wang, and Yevgeniy Vorobeychik. A Decision Theoretic Framework for Emergency Responder Dispatch. (AAMAS, 2018).

Amin Ghafouri, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Adversarial regression for detecting attacks in cyber-physical systems. (IJCAI 2018).

Chen Hajaj and Yevgeniy Vorobeychik. Adversarial task assignment. (IJCAI 2018).

Swetasudha Panda and Yevgeniy Vorobeychik. Scalable initial state interdiction for factored MDPs. (IJCAI 2018).

Xintong Wang, Michael P. Wellman, and Yevgeniy Vorobeychik. A cloaking mechanism to mitigate market manipulation. (IJCAI 2018).

2019

Yongtai Liu, Chao Yan, Zhijun Yin, Zhiyu Wan, Weiyi Xia, Murat Kantarcioglu, Yevgeniy Vorobeychik, Ellen Wright Clayton, and Bradley A. Malin. Biomedical research cohort membership disclosure on social media. (AMIA 2019). Distinguished paper award

Kai Zhou, Tomasz Michalak, and Yevgeniy Vorobeychik. Adversarial Robustness of Similarity-Based Link Prediction. IEEE International Conference on Data Mining. (ICDM 2019).

Adith Boloor, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang. Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models. (ICESS 2019).

Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, and Yevgeniy Vorobeychik. Improving robustness of ML classifiers against realizable evasion attacks using conserved features. (USENIX Security, 2019).

Jasper Lu, David Zhang, Svetlana Obraztsova, Zinovi Rabinovich, and Yevgeniy Vorobeychik. Manipulating Elections by Selecting Issues. (AAMAS 2019).

Sixie Yu and Yevgeniy Vorobeychik. Removing Malicious Nodes from Networks. (AAMAS 2019).

Kai Zhou, Tomasz Michalak, Marcin Waniek, Talal Rahwan, and Yevgeniy Vorobeychik. Attacking similarity-based link prediction in social networks. (AAMAS 2019).

Chen Hajaj, Sixie Yu, Zlatko Joveski, Yifan Guo, and Yevgeniy Vorobeychik. Adversarial coordination on social networks. (AAMAS 2019).

Geoffrey Pettet, Ayan Mukhopadhyay, Chinmaya Samal, Abhishek Dubey, and Yevgeniy Vorobeychik Vorobeychik. An online decision-theoretic pipeline for responder dispatch. (ICCPS 2019).

Bryan Wilder and Yevgeniy Vorobeychik. Defending elections against malicious spread of misinformation. (AAAI 2019).

Rajagopal Venkatesaramani, Doug Downey, Bradley Malin and Yevgeniy Vorobeychik. A semantic cover approach for topic modeling. (*SEM 2019).

Matthew C. Lenert, Randolph A. Miller, Yevgeniy Vorobeychik, and Colin G. Walsh. A method for analyzing inpatient care variability through physicians' orders. (Journal of Biomedical Informatics, 91:103111, 2019).

Amin Ghafouri, Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. A game-theoretic approach for selecting optimal time-dependent thresholds for anomaly detection. (Journal of the Autonomous Agents and Multiagent Systems, 33(4):430-456, 2019)

Chao Yan, Bo Li, Yevgeniy Vorobeychik, Aron Laszka, Daniel Fabbri, and Bradley Malin. Database audit workload prioritization via game theory. (ACM Transactions on Privacy and Security, 22(3):Article 17, 2019).

Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Detection and Mitigation of Attacks on Transportation Networks as a Multi-Stage Security Game. (Computers & Security, 2019).

Aron Laszka, Xenofon Koutsoukos, and Yevgeniy Vorobeychik. Towards High-Resolution Multi-Stage Security Games. (Proactive and Dynamic Network Defense, Cliff Wang and Zhuo Lu (Eds.), Springer (Advances in Information Security), Chapter 6, 2019.)

2020

Taha Eghtesad, Yevgeniy Vorobeychik, and Aron Laszka. Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense. (GameSec 2020).

Feiran Jia, Kai Zhou, Charles Kamhoua, and Yevgeniy Vorobeychik. Blocking Adversarial Influence in Social Networks. (GameSec 2020).

Andrew Estornell, Sanmay Das, Edith Elkind, and Yevgeniy Vorobeychik. Election Control by Manipulating Issue Significance. (UAI 2020).

Kai Zhou and Yevgeniy Vorobeychik. Robust Collective Classification against Structural Attacks. (UAI 2020).

Ayan Mukhopadhyay, Kai Wang, Andrew Perrault, Mykel Kochenderfer, Milind Tambe, and Yevgeniy Vorobeychik. Robust Spatial-Temporal Incident Prediction. (UAI 2020).

Ren Pang, Hua Shen, Xinyang Zhang, Shouling Ji, Yevgeniy Vorobeychik, Xiapu Luo, Alex X. Liu, and Ting Wang. A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models. [code] (CCS, 2020).

Adith Boloor, Karthik Garimella, Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang. Attacking Vision-based Perception in End-to-End Autonomous Driving Models. [code] (Journal of Systems Architecture, 110:101766, 2020).

Tong Wu, Liang Tong, and Yevgeniy Vorobeychik. Defending Against Physically Realizable Attacks on Image Classification. [code] (ICLR 2020).

Jinghan Yang, Ayan Chakrabarti, and Yevgeniy Vorobeychik. Protecting geolocation privacy of photo collections. [code] (AAAI 2020).

Andrew Estornell, Sanmay Das, and Yevgeniy Vorobeychik. Deception through half-truths. (AAAI 2020).

Sixie Yu, Kai Zhou, Jeffrey Brantingham, and Yevgeniy Vorobeychik. Computing equilibria in binary networked public goods games. (AAAI 2020).

Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, and Yevgeniy Vorobeychik. Finding needles in a moving haystack: Prioritizing alerts with adversarial reinforcement learning. [code] (AAAI 2020).

David Kempe, Sixie Yu, and Yevgeniy Vorobeychik. Inducing Equilibria in Networked Public Goods Games through Network Structure Modification. (AAMAS 2020).

Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Yevgeniy Vorobeychik, and Abhishek Dubey. On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities. (AAMAS 2020).

Chao Yan, Haifeng Xu, Yevgeniy Vorobeychik, Bo Li, Daniel Fabbri, and Bradley Malin. To Warn or Not to Warn: Online Signaling in Audit Games. (ICDE 2020).

Yi Li, Huahong Zhang, Camilo Bermudez, Yifan Chen, Bennett A. Landman, and Yevgeniy Vorobeychik. Anatomical context protects deep learning from adversarial perturbations in medical imaging. [code] (Neurocomputing, 379:370-378, 2020).

Aron Laszka, Waseem Abbas, Yevgeniy Vorobeychik, and Xenofon Koutsoukos. Integrating Redundancy, Diversity, and Hardening to Improve Security of Industrial Internet of Things. (Cyber-Physical Systems, 6(1):1-32, 2020).

Yevgeniy Vorobeychik and Michael Pritchard. Plan interdiction games. (Adaptive Autonomous Secure Cyber Systems, 2020).

2021

Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik. Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing. [code] (Working paper).

Junlin Wu, Charles Kamhoua, Murat Kantarcioglu and Yevgeniy Vorobeychik. Learning Generative Deception Strategies in Combinatorial Masking Games. (GameSec 2021).

Shanto Roy, Salah Kadir, Yevgeniy Vorobeychik and Aron Laszka. Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies. (GameSec 2021).

Netanel Raviv, Aidan Kelley, Minzhe Guo, and Yevgeny Vorobeychik Enhancing Robustness of Neural Networks through Fourier Stabilization. [code] (ICML 2021).

Sixie Yu, David Kempe, and Yevgeniy Vorobeychik. Altruism Design in Networked Public Goods Games. (IJCAI 2021).

Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, and Yevgeniy Vorobeychik. FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems. [code] (CVPR 2021).

Benjamin Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad and Scott Alfeld. PATHATTACK: Attacking Shortest Paths in Complex Networks. (ECML/PKDD 2021).

Marcin Waniek, Jan Woznica, Kai Zhou, Yevgeniy Vorobeychik, Talal Rahwan and Tomasz Michalak. Strategic Evasion of Centrality Measures. (AAMAS 2021).

Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik. POTION: Optimizing Graph Structure for Targeted Diffusion. [code] (SDM 2021).

Andrew Estornell, Sanmay Das, and Yevgeniy Vorobeychik. Incentivizing Truthfulness Through Audits in Strategic Classification. (AAAI 2021).

Kun Jin, Yevgeniy Vorobeychik, and Mingyan Liu. Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. (AAAI 2021).

Yongtai Liu, Zhijun Yin, Zhiyu Wan, Chao Yan, Conging Ni, Weiyi Xia, Ellen Wright Clayton, Yevgeniy Vorobeychik, Murat Kantarcioglu, and Bradley A. Malin. De-identifying Socioeconomic Data at the Census Tract Level for Medical Research Through Constraint-based Clustering. (AMIA 2021).

Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia, Yongtai Liu, Myrna Wooders, Jia Guo, Zhijun Yin, Ellen W. Clayton, Murat Kantarcioglu, and Bradley A. Malin. Using game theory to thwart multi-stage privacy intrusions when sharing data. (Science Advances, 2021).

Rajagopal Venkatesaramani, Bradley A. Malin, and Yevgeniy Vorobeychik. Re-identification of individuals in genomic datasets using public face images. (Science Advances, 2021).

Greg Leo, Jian Lou, Martin van der Linden, Yevgeniy Vorobeychik, and Myrna Wooders. Matching soulmates. (Journal of Public Economic Theory, 2021).

Xintong Wang, Christopher Hoang, Yevgeniy Vorobeychik, and Michael P. Wellman. Spoofing the limit order book: a strategic agent-based analysis. (Games, 2021).

Chen Hajaj, Zlatko Joveski, Sixie Yu, and Yevgeniy Vorobeychik. Robust Coordination in Adversarial Social Networks: From Human Behavior to Agent-Based Modeling. (Network Science, 2021).

Weiyi Xia, Yongtai Liu, Zhiyu Wan, Yevgeniy Vorobeychik, Murat Kantacioglu, Steve Nyemba, Ellen Wright Clayton, and Bradley A. Malin. Enabling Realistic Health Data Re-identification Risk Assessment Through Adversarial Modeling. (JAMIA 2021).

2022

Han Liu, Zhiyuan Yu, Mingming Zha, XiaoFeng Wang, William Yeoh, Yevgeniy Vorobeychik, and Ning Zhang. When Evil Calls : Targeted Adversarial Voice over IP-Telephony Network. (CCS 2022).

Sixie Yu, Jeffrey Brantingham, Matthew Valasik, and Yevgeniy Vorobeychik. Learning Binary Multi-Scale Games on Networks. [code] (UAI 2022).

Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, and Yevgeniy Vorobeychik. Solving Structured Hierarchical Games Using Differential Backward Induction. [code] (UAI 2022).

Junlin Wu and Yevgeniy Vorobeychik. Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum. [code] (ICML 2022).

Junlin Wu, Andrew Estornell, Lecheng Kong, and Yevgeniy Vorobeychik. Manipulating Elections by Changing Voter Perceptions. (IJCAI 2022).

Amanda Kube, Sanmay Das, Patrick Fowler, and Yevgeniy Vorobeychik. Just Resource Allocation? How Algorithmic Predictions and Human Notions of Justice Interact. (EC 2022).

Han Ching Ou, Christoph Siebenbrunner, Jackson Killian, Meredith Brooks, David Kempe, Yevgeniy Vorobeychik, and Milind Tambe. Networked Restless Multi-Armed Bandits for Mobile Interventions. (AAMAS 2022).

Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, and Bo Li. CROP: Certifying robust policies for reinforcement learning through functional smoothing. [code] (ICLR 2022).

Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, and Yevgeniy Vorobeychik. PROVES: Establishing Image Provenance using Semantic Signatures. [code] (WACV 2022).

Shaojie Wang, Tong Wu, Ayan Chakrabarti, and Yevgeniy Vorobeychik. Adversarial Robustness of Deep Sensor Fusion Models. (WACV 2022).

Bradley Malin, James Hazel, Zhiyu Wan, Ellen Clayton, Yevgeniy Vorobeychik, and Murat Kantarcioglu. Sociotechnical safeguards for genomic data privacy. (Nature Reviews Genetics, 2022).

Yongtai Liu, Zhijun Yin, Zhiyu Wan, Chao Yan, Weiyi Xia, Congning Ni, Ellen Wright Clayton, Yevgeniy Vorobeychik, and Bradley Malin. Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis. (JMIR Infodemiology, 2022).

Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Mohsen Vazirizade, Di Lu, Alex Jaimes, Said El Said, Hiba Baroud, Yevgeniy Vorobeychik, Mykel Kochenderfer, Abhishek Dubey. A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models. (Journal on Accident Analysis and Prevention, 2022).

Gregory Leo, Yevgeniy Vorobeychik, and Myrna Wooders. Subgame Perfect Coalition Formation. (Dynamic Games and Applications, 2022).

2023

Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik. Neural Lyapunov Control for Discrete-Time Systems. [code] (NeurIPS 2023).

Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark. Exact Verification of ReLU Neural Control Barrier Functions. [code] (NeurIPS 2023).

Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik A Partially-Supervised Reinforcement Learning Framework for Visual Active Search. [code] (NeurIPS 2023).

Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, and Yevgeniy Vorobeychik. Incentivizing Recourse through Auditing in Strategic Classification. (IJCAI 2023).

Andrew Estornell, Sanmay Das, Yang Liu, and Yevgeniy Vorobeychik. Group-Fair Classification with Strategic Agents. (FAccT 2023).

Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, and Chaowei Xiao. CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models. [code and data] (ICML 2023).

Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, and Ning Zhang. SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples. [code] (CVPR 2023).

Michal Tomasz Godziszewski, Yevgeniy Vorobeychik, and Tomasz Michalak. Adversarial Link Prediction in Spatial Networks. (AAMAS 2023).

Connor Douglas, Everett Witt, Mia Bendy, and Yevgeniy Vorobeychik. Computing an Optimal Pitching Strategy in a Baseball At-Bat. (FLAIRS 2023).

Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik, and Charles Kamhoua. IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception. (FLAIRS 2023).

Chayan Maitra, Dibyendu B. Seal, Vivek Das, Yevgeniy Vorobeychik, and Rajat K. De. UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets. (BIBM 2023).

Ashwin Kumar, Yevgeniy Vorobeychik, and William Yeoh. Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems. (ICAPS 2023).

Andrew Estornell, Brendan Juba, Sanmay Das, and Yevgeniy Vorobeychik. Popularizing Fairness: Group Fairness and Individual Welfare. (AAAI, 2023).

Yevgeniy Vorobeychik. The Many Faces of Adversarial Machine Learning. (AAAI, 2023).

Jinghan Yang, Hunmin Kim, Wenbin Wan, Naira Hovakimyan, and Yevgeniy Vorobeychik. Certified Robust Control under Adversarial Perturbations. (ACC 2023).

Rajagopal Venkatesaramani, Zhiyu Wan, Bradley Malin, and Yevgeniy Vorobeychik. Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics. (Genome Research 2023).

Zeeshan Samad, Myrna Wooders, Bradley Malin, and Yevgeniy Vorobeychik. Risk, Trust, and Altruism in Genetic Data Sharing. (JPET 2023).

Jinghan Yang, Andrew Estornell, and Yevgeniy Vorobeychik. Location Spoofing Attacks on Autonomous Fleets. (VehicleSec, 2023).

Weiyi Xia, Melissa Basford, Robert Carroll, Ellen Wright Clayton, Paul Harris, Murat Kantarcioglu, Yongtai Liu, Steve Nyemba, Yevgeniy Vorobeychik, Zhiyu Wan, and Bradley Malin. Managing Re-identification Risks While Providing Access to the All of Us Research Program. (JAMIA, 2023).

2024

Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik. Verified Safe Reinforcement Learning for Neural Network Dynamic Models. (NeurIPS 2024).

Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu. Axioms for AI Alignment from Human Feedback. (NeurIPS 2024).

Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik. GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. (NeurIPS 2024).

Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, and Chaowei Xiao. On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. [code] (ACL 2024).

Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, and Aron Laszka. Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks. [code] (AAMAS 2024).

Andrew Estornell, Tina Zhang, Sanmay Das, Chien-Ju Ho, Brendan Juba, and Yevgeniy Vorobeychik. The Impact of Features Used by Algorithms on Perceptions of Fairness. (IJCAI 2024).

Jayanth Yetukuri, Ian Hardy, Yevgeniy Vorobeychik, Berk Ustun, Yang Liu. Providing Fair Recourse over Plausible Groups. (AAAI 2024).

Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, and Yevgeniy Vorobeychik. A Visual Active Search Framework for Geospatial Exploration. [code] (WACV 2024).

Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, and Yevgeniy Vorobeychik. Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. (ICMLA 2024), to appear.

James Thomas Brown, Ellen Wright Clayton, Michael E. Matheny, Murat Kantarcioglu, Yevgeniy Vorobeychik, Bradley A. Malin: Robin Hood: A De-identification Method to Preserve Minority Representation for Disparities Research. (PSD 2024: 67-83).

Junlin Wu, Hussein Sibai, Yevgeniy Vorobeychik: Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks. (DLSP 2024).

Xia Li, Andrea L. Bertozzi, P. Jeffrey Brantingham, and Yevgeniy Vorobeychik. Optimal policy for control of epidemics with constrained time intervals and region-based interactions. (AIMS Networks and Heterogeneous Media 2024).

Benjamin Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad and Scott Alfeld. Attacking shortest paths by cutting edges. [code] (TKDD 2024).

2025

Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik. Online Feedback Efficient Active Target Discovery in Partially Observable Environments. [code] (NeurIPS 2025).

Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik. Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory. [code] (NeurIPS 2025).

Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang. EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. (EMNLP 2025).

Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik. Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. [code] (ICML 2025).

Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, and Chaowei Xiao. AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs. [code] (ICLR 2025).

Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, and Yang Liu. Adversarial Machine Unlearning. [code] (ICLR 2025).

Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick J. Fowler, Nathan Jacobs, Yevgeniy Vorobeychik. Active Geospatial Search for Efficient Tenant Eviction Outreach. [code] (AAAI 2025).

Tao Zhang, Bradley A. Malin, Netanel Raviv, and Yevgeniy Vorobeychik. Differential confounding privacy and inverse composition. (ISIT 2025).

Zihan Li, Han Liu, Ao Li, Ching-hsiang Chan, Yevgeniy Vorobeychik, William Yeoh, Wenjing Lou and Ning Zhang. Resilient Federated Learning on Embedded Devices with Constrained Network Connectivity. (DAC 2025).

Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik, and Yang Liu. To Give or Not to Give? The Impacts of Strategically Withheld Recourse. (AISTATS 2025).

Benjamin Miller, Zohair Shafi, Wheeler Ruml, Yevgeniy Vorobeychik, Tina Eliassi-Rad and Scott Alfeld. Defense Against Shortest Path Attacks. [code] (SDM 2025).

Michael Lanier and Yevgeniy Vorobeychik. CyGym: A Simulation-Based Game-Theoretic Analysis Framework for Cybersecurity. [code] (GameSec 2025).

Jun Wang, Kaiyuan Tan, Yevgeniy Vorobeychik, and Yiannis Kantaros. Conformal Temporal Logic Planning using Large Language Models. [demo] (TCPS 2025).

Katherine Brown, Chao Yan, Zhuohang Li, Murat Kantarcioglu, Yevgeniy Vorobeychik, You Chen, Ellen Clayton, Xinmeng Zhang, Benjamin Collins, and Bradley Malin. Large Language Models are Less Effective at Clinical Prediction Tasks than Locally Trained Machine Learning Models. (JAMIA 2025).

Victor Borza, Qingxia Chen, Ellen W. Clayton, Murat Kantarcioglu, Lina Sulieman, Yevgeniy Vorobeychik, and Bradley A. Malin. Computational Strategic Recruitment for Representation and Coverage Studied in the All of Us Research Program. (npj Digital Medicine, 2025).

Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, and Yevgeniy Vorobeychik. A Game-Theoretic Approach for Hierarchical Epidemic Control. (JAAMAS 2025).

Kash Barker, James H. Lambert, Elena Bessarabova, Sridhar Radhakrishnan, Andres D. Gonzalez Huertas, Matthew Weber, Jose Ramirez-Marquez, Yevgeniy Vorobeychik, and John N. Jiang. Risk Analysis of Disinformation Weaponization Against Critical Networks. (Risk Analysis, 2025).

P. Jeffrey Brantingham, George Mohler, and Yevgeniy Vorobeychik. Calling the Police as an Interdependent Security Game. (Journal of Mathematical Sociology, 2025).

Yulin Zhu, Xing Ai, Yevgeniy Vorobeychik, Kai Zhou. Robust Graph Contrastive Learning with Information Restoration. (TIFS 2025).

Yevgeniy Vorobeychik. Computational Game Theory for Security. (Autonomous Cyber Resilience, 2026).

2026

Tao Zhang and Yevgeniy Vorobeychik. Sliced R'enyi Pufferfish Privacy: Tractable Privatization Mechanism and Private Learning with Gradient Clipping. (SEC 2026), to appear.

Tao Zhang and Yevgeniy Vorobeychik. Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier. (SEC 2026), to appear

Shanghao Shi, Xiao Wang, Chaoyu Zhang, Hao Li, Wenjing Lou, Thomas Hou, Yevgeniy Vorobeychik, Chongjie Zhang, Ning Zhang. Think Twice Before You Act: Protecting LLM Agents Against Tool Description Poisoning via Isolated Planning. (ICML 2026), to appear.

Luise Ge, Yongyan Zhang, Yevgeniy Vorobeychik. Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs. [code and data] (ACL 2026; nominated for best paper award), to appear

Owen Ma, William Yeoh, Ning Zhang, Yevgeniy Vorobeychik. Protecting Language Models Against Unauthorized Distillation through Trace Rewriting. [code] (ACL 2026), to appear

Jun Wang, Yevgeniy Vorobeychik, Yiannis Kantaros. CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning. [code] (L4DC 2026), to appear

Xinhang Ma, Junlin Wu, Yiannis Kantaros, Yevgeniy Vorobeychik. Conformal Reachability for Safe Control in Unknown Environments. (AAMAS 2026), to appear.

Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Nathan Jacobs, Yevgeniy Vorobeychik. DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments. (AAMAS 2026), to appear.

Taha Eghtesad, Yevgeniy Vorobeychik, and Aron Laszka. Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing. (HSCC/ICCPS 2026), to appear.

Michael Lanier and Yevgeniy Vorobeychik. A Scalable Approach to Solving Simulation-Based Network Security Games. (FLAIRS 2026), to appear.

Luise Ge, Greg Kehne, Yevgeniy Vorobeychik. Optimized Distortion in Linear Social Choice. (AAAI 2026).

Owen Ma, Junlin Wu, Hussein Sibai, Yiannis Kantaros, Yevgeniy Vorobeychik. Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees. [code] (AAAI 2026).