Vorobeychik, Yevgeniy

73 publications

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

NeurIPS 2025 Active Target Discovery Under Uninformative Priors: The Power of Permanent and Transient Memory Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik

ICLR 2025 Adversarial Machine Unlearning Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang Liu

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

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

NeurIPS 2025 Online Feedback Efficient Active Target Discovery in Partially Observable Environments Anindya Sarkar, Binglin Ji, Yevgeniy Vorobeychik

AISTATS 2025 To Give or Not to Give? the Impacts of Strategically Withheld Recourse Yatong Chen, Andrew Estornell, Yevgeniy Vorobeychik, Yang Liu

WACV 2024 A Visual Active Search Framework for Geospatial Exploration Anindya Sarkar, Michael Lanier, Scott Alfeld, Jiarui Feng, Roman Garnett, Nathan Jacobs, Yevgeniy Vorobeychik

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

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

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

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

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

NeurIPS 2023 A Partially-Supervised Reinforcement Learning Framework for Visual Active Search Anindya Sarkar, Nathan Jacobs, Yevgeniy Vorobeychik

ICML 2023 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao

NeurIPS 2023 Exact Verification of ReLU Neural Control Barrier Functions Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik, Andrew Clark

IJCAI 2023 Incentivizing Recourse Through Auditing in Strategic Classification Andrew Estornell, Yatong Chen, Sanmay Das, Yang Liu, Yevgeniy Vorobeychik

NeurIPS 2023 Neural Lyapunov Control for Discrete-Time Systems Junlin Wu, Andrew Clark, Yiannis Kantaros, Yevgeniy Vorobeychik

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

CVPR 2023 SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples Han Liu, Yuhao Wu, Zhiyuan Yu, Yevgeniy Vorobeychik, Ning Zhang

AAAI 2023 The Many Faces of Adversarial Machine Learning Yevgeniy Vorobeychik

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

ICLR 2022 CROP: Certifying Robust Policies for Reinforcement Learning Through Functional Smoothing Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li

UAI 2022 Learning Binary Multi-Scale Games on Networks Sixie Yu, P. Jeffrey Brantingham, Matthew Valasik, Yevgeniy Vorobeychik

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

WACV 2022 PROVES: Establishing Image Provenance Using Semantic Signatures Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik

ICML 2022 Robust Deep Reinforcement Learning Through Bootstrapped Opportunistic Curriculum Junlin Wu, Yevgeniy Vorobeychik

UAI 2022 Solving Structured Hierarchical Games Using Differential Backward Induction Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik

ICLRW 2022 Solving Structured Hierarchical Games Using Differential Backward Induction Zun Li, Feiran Jia, Aditya Mate, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Yevgeniy Vorobeychik

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

ICCVW 2021 Can Optical Trojans Assist Adversarial Perturbations? Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik

ICML 2021 Enhancing Robustness of Neural Networks Through Fourier Stabilization Netanel Raviv, Aidan Kelley, Minzhe Guo, Yevgeniy Vorobeychik

CVPR 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik

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

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

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

AAAI 2020 Computing Equilibria in Binary Networked Public Goods Games Sixie Yu, Kai Zhou, P. Jeffrey Brantingham, Yevgeniy Vorobeychik

AAAI 2020 Deception Through Half-Truths Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

ICLR 2020 Defending Against Physically Realizable Attacks on Image Classification Tong Wu, Liang Tong, Yevgeniy Vorobeychik

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

AAAI 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning Liang Tong, Aron Laszka, Chao Yan, Ning Zhang, Yevgeniy Vorobeychik

AAAI 2020 Protecting Geolocation Privacy of Photo Collections Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

UAI 2020 Robust Collective Classification Against Structural Attacks Kai Zhou, Yevgeniy Vorobeychik

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

AAAI 2019 Defending Elections Against Malicious Spread of Misinformation Bryan Wilder, Yevgeniy Vorobeychik

IJCAI 2018 A Cloaking Mechanism to Mitigate Market Manipulation Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman

IJCAI 2018 Adversarial Regression for Detecting Attacks in Cyber-Physical Systems Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos

IJCAI 2018 Adversarial Task Assignment Chen Hajaj, Yevgeniy Vorobeychik

IJCAI 2018 Scalable Initial State Interdiction for Factored MDPs Swetasudha Panda, Yevgeniy Vorobeychik

UAI 2017 Near-Optimal Interdiction of Factored MDPs Swetasudha Panda, Yevgeniy Vorobeychik

AAAI 2017 Security Games on a Plane Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch

IJCAI 2016 Adversarial AI Yevgeniy Vorobeychik

AAAI 2016 Behavioral Experiments in Email Filter Evasion Liyiming Ke, Bo Li, Yevgeniy Vorobeychik

NeurIPS 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering Bo Li, Yining Wang, Aarti Singh, Yevgeniy Vorobeychik

AAAI 2016 Multi-Defender Strategic Filtering Against Spear-Phishing Attacks Aron Laszka, Jian Lou, Yevgeniy Vorobeychik

IJCAI 2016 Optimally Protecting Elections Yue Yin, Yevgeniy Vorobeychik, Bo An, Noam Hazon

AAAI 2016 Submodular Optimization with Routing Constraints Haifeng Zhang, Yevgeniy Vorobeychik

AAAI 2015 Designing Vaccines That Are Robust to Virus Escape Swetasudha Panda, Yevgeniy Vorobeychik

IJCAI 2015 Equilibrium Analysis of Multi-Defender Security Games Jian Lou, Yevgeniy Vorobeychik

AAAI 2015 Mechanism Design for Team Formation Mason Wright, Yevgeniy Vorobeychik

AAAI 2015 Optimal Personalized Filtering Against Spear-Phishing Attacks Aron Laszka, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos

AISTATS 2015 Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings Bo Li, Yevgeniy Vorobeychik

AAAI 2015 Security Games with Protection Externalities Jiarui Gan, Bo An, Yevgeniy Vorobeychik

NeurIPS 2014 Feature Cross-Substitution in Adversarial Classification Bo Li, Yevgeniy Vorobeychik

UAI 2012 Computing Optimal Security Strategies for Interdependent Assets Joshua Letchford, Yevgeniy Vorobeychik

AAAI 2012 Computing Stackelberg Equilibria in Discounted Stochastic Games Yevgeniy Vorobeychik, Satinder Singh

AAAI 2012 Security Games with Limited Surveillance Bo An, David Kempe, Christopher Kiekintveld, Eric Shieh, Satinder Singh, Milind Tambe, Yevgeniy Vorobeychik

IJCAI 2009 Learning Graphical Game Models Quang Duong, Yevgeniy Vorobeychik, Satinder Singh, Michael P. Wellman

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

UAI 2007 Constrained Automated Mechanism Design for Infinite Games of Incomplete Information Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman

MLJ 2007 Learning Payoff Functions in Infinite Games Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh

IJCAI 2005 Learning Payoff Functions in Infinite Games Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh

JAIR 2004 Price Prediction in a Trading Agent Competition Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Yevgeniy Vorobeychik