← Authors

Yevgeniy Vorobeychik

54 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🌍 Conference Polyglot (11) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (11) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion (2) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (226) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (52) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

AAAI (13) IJCAI (11) NIPS (8) UAI (5) ICLR (4) ICML (4) WACV (3) AISTATS (2) CVPR (2) ACL (1) EMNLP (1)

Top co-authors

Andrew Estornell (8) Junlin Wu (8) Sanmay Das (7) Ning Zhang (5) Anindya Sarkar (5) Bo Li (5) Sixie Yu (4) Nathan Jacobs (4) Yang Liu (4) Ayan Chakrabarti (3)

Research topics

Privacy (3) Social (1)

Keywords

game theory (9) reinforcement learning (6) adversarial learning (5) adversarial robustness (5) adversarial attack (4) combinatorial optimization (4) mixed-integer programming (3) neural network (3) network game (3) strategic classification (3) evasion attack (2) adversarial perturbation (2) active learning (2) stackelberg game (2) mechanism design (2) nash equilibrium (2) adversarial machine learning (2) autonomous driving (2) feature selection (2) computational complexity (2)

Papers

Optimized Distortion in Linear Social Choice AAAI 2026
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees AAAI 2026
Adversarial Machine Unlearning ICLR 2025
Active Geospatial Search for Efficient Tenant Eviction Outreach AAAI 2025
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs ICLR 2025
To Give or Not to Give? The Impacts of Strategically Withheld Recourse AISTATS 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
Providing Fair Recourse over Plausible Groups AAAI 2024
A Visual Active Search Framework for Geospatial Exploration WACV 2024
The Impact of Features Used by Algorithms on Perceptions of Fairness IJCAI 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models ACL 2024
Verified Safe Reinforcement Learning for Neural Network Dynamic Models NIPS 2024
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization NIPS 2024
Axioms for AI Alignment from Human Feedback NIPS 2024
Incentivizing Recourse through Auditing in Strategic Classification IJCAI 2023
Neural Lyapunov Control for Discrete-Time Systems NIPS 2023
Exact Verification of ReLU Neural Control Barrier Functions NIPS 2023
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search NIPS 2023
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples CVPR 2023
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023
Popularizing Fairness: Group Fairness and Individual Welfare AAAI 2023
The Many Faces of Adversarial Machine Learning AAAI 2023
Solving structured hierarchical games using differential backward induction UAI 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing ICLR 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022
Manipulating Elections by Changing Voter Perceptions IJCAI 2022
Learning binary multi-scale games on networks UAI 2022
Adversarial Robustness of Deep Sensor Fusion Models WACV 2022
PROVES: Establishing Image Provenance Using Semantic Signatures WACV 2022
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021
Altruism Design in Networked Public Goods Games IJCAI 2021
Incentivizing Truthfulness Through Audits in Strategic Classification AAAI 2021
Enhancing Robustness of Neural Networks through Fourier Stabilization ICML 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
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning AAAI 2020
Robust Collective Classification against Structural Attacks UAI 2020
Election Control by Manipulating Issue Significance UAI 2020
Robust Spatial-Temporal Incident Prediction UAI 2020
Defending Against Physically Realizable Attacks on Image Classification ICLR 2020
Protecting Geolocation Privacy of Photo Collections AAAI 2020
Defending Elections against Malicious Spread of Misinformation AAAI 2019
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
A Cloaking Mechanism to Mitigate Market Manipulation IJCAI 2018
Adversarial AI IJCAI 2016
Optimally Protecting Elections IJCAI 2016
Data Poisoning Attacks on Factorization-Based Collaborative Filtering NIPS 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 NIPS 2014