Yevgeniy Vorobeychik

CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning L4DC 2026 Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees AAAI 2026 Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs ACL 2026 Optimized Distortion in Linear Social Choice AAAI 2026 Protecting Language Models Against Unauthorized Distillation through Trace Rewriting ACL 2026 Active Geospatial Search for Efficient Tenant Eviction Outreach AAAI 2025 Adversarial Machine Unlearning ICLR 2025 AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs ICLR 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks ICML 2025 To Give or Not to Give? The Impacts of Strategically Withheld Recourse AISTATS 2025 A Visual Active Search Framework for Geospatial Exploration WACV 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 GOMAA-Geo: GOal Modality Agnostic Active Geo-localization NeurIPS 2024 Providing Fair Recourse over Plausible Groups AAAI 2024 RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models ACL 2024 The Impact of Features Used by Algorithms on Perceptions of Fairness IJCAI 2024 Verified Safe Reinforcement Learning for Neural Network Dynamic Models NeurIPS 2024 A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NeurIPS 2023 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023 Exact Verification of ReLU Neural Control Barrier Functions NeurIPS 2023 Incentivizing Recourse through Auditing in Strategic Classification IJCAI 2023 Neural Lyapunov Control for Discrete-Time Systems NeurIPS 2023 Popularizing Fairness: Group Fairness and Individual Welfare AAAI 2023 SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples CVPR 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 Adversarial Robustness of Deep Sensor Fusion Models WACV 2022 CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022 Learning binary multi-scale games on networks UAI 2022 Manipulating Elections by Changing Voter Perceptions IJCAI 2022 PROVES: Establishing Image Provenance Using Semantic Signatures WACV 2022 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Solving structured hierarchical games using differential backward induction UAI 2022 Altruism Design in Networked Public Goods Games IJCAI 2021 Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 2021 FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021 Incentivizing Truthfulness Through Audits in Strategic Classification AAAI 2021 Multi-Scale Games: Representing and Solving Games on Networks with Group Structure AAAI 2021 Computing Equilibria in Binary Networked Public Goods Games AAAI 2020 Deception through Half-Truths AAAI 2020 Defending Against Physically Realizable Attacks on Image Classification ICLR 2020 Election Control by Manipulating Issue Significance UAI 2020 Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020 Protecting Geolocation Privacy of Photo Collections AAAI 2020 Robust Collective Classification against Structural Attacks UAI 2020 Robust Spatial-Temporal Incident Prediction UAI 2020 Defending Elections against Malicious Spread of Misinformation AAAI 2019 A Cloaking Mechanism to Mitigate Market Manipulation IJCAI 2018 Adversarial Regression for Detecting Attacks in Cyber-Physical Systems IJCAI 2018 Adversarial Task Assignment IJCAI 2018 Scalable Initial State Interdiction for Factored MDPs IJCAI 2018 Adversarial AI IJCAI 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 Optimally Protecting Elections IJCAI 2016 Equilibrium Analysis of Multi-Defender Security Games IJCAI 2015 Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings AISTATS 2015 Feature Cross-Substitution in Adversarial Classification NeurIPS 2014