Yevgeniy Vorobeychik
56 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (8) π£ Hot Topic Early Bird
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Interdisciplinary Bridge
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Cross-Pollinator
(9)
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Academic Marathon
(11)
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Grand Slam
π¬
Deep Specialist
(12)
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Keyword Champion
(2)
π±
Topic Pioneer
π§¬
Topic Evolution
ποΈ
Keyword Collector
(226)
β‘
Prolific Year
(8)
π
Conference Pioneer
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Trend Setter
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Century Club
(52)
π₯
Unstoppable
(8)
β
The Questioner
Conferences
AAAI (13)
IJCAI (11)
NIPS (8)
UAI (5)
ICLR (4)
ICML (4)
ACL (3)
WACV (3)
AISTATS (2)
CVPR (2)
EMNLP (1)
Top co-authors
Research topics
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
Mind the (DH) Gap! A Contrast in Risky Choices Between Reasoning and Conversational LLMs
ACL 2026
Protecting Language Models Against Unauthorized Distillation through Trace Rewriting
ACL 2026
Optimized Distortion in Linear Social Choice
AAAI 2026
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
AAAI 2026
AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs
ICLR 2025
Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks
ICML 2025
Active Geospatial Search for Efficient Tenant Eviction Outreach
AAAI 2025
To Give or Not to Give? The Impacts of Strategically Withheld Recourse
AISTATS 2025
Adversarial Machine Unlearning
ICLR 2025
EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
EMNLP 2025
A Visual Active Search Framework for Geospatial Exploration
WACV 2024
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
ACL 2024
Axioms for AI Alignment from Human Feedback
NIPS 2024
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
NIPS 2024
Verified Safe Reinforcement Learning for Neural Network Dynamic Models
NIPS 2024
The Impact of Features Used by Algorithms on Perceptions of Fairness
IJCAI 2024
Providing Fair Recourse over Plausible Groups
AAAI 2024
Neural Lyapunov Control for Discrete-Time Systems
NIPS 2023
Exact Verification of ReLU Neural Control Barrier Functions
NIPS 2023
Incentivizing Recourse through Auditing in Strategic Classification
IJCAI 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
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples
CVPR 2023
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
NIPS 2023
Learning binary multi-scale games on networks
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
Solving structured hierarchical games using differential backward induction
UAI 2022
Adversarial Robustness of Deep Sensor Fusion Models
WACV 2022
PROVES: Establishing Image Provenance Using Semantic Signatures
WACV 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
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
AAAI 2021
Incentivizing Truthfulness Through Audits in Strategic Classification
AAAI 2021
Robust Collective Classification against Structural Attacks
UAI 2020
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
AAAI 2020
Deception through Half-Truths
AAAI 2020
Election Control by Manipulating Issue Significance
UAI 2020
Robust Spatial-Temporal Incident Prediction
UAI 2020
Protecting Geolocation Privacy of Photo Collections
AAAI 2020
Defending Against Physically Realizable Attacks on Image Classification
ICLR 2020
Computing Equilibria in Binary Networked Public Goods Games
AAAI 2020
Defending Elections against Malicious Spread of Misinformation
AAAI 2019
Scalable Initial State Interdiction for Factored MDPs
IJCAI 2018
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems
IJCAI 2018
A Cloaking Mechanism to Mitigate Market Manipulation
IJCAI 2018
Adversarial Task Assignment
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