Yevgeniy Vorobeychik

Influence-Guided Active Search for Poisoned Data Forensics

Adapting Actively on the Fly: Relevance-Guided Online Meta-Learning with Latent Concepts for Geospatial Discovery

Active Target Discovery under Uninformative Priors: The Power of Permanent and Transient Memory

AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Online Feedback Efficient Active Target Discovery in Partially Observable Environments

Adversarial Machine Unlearning

Bayes-Nash Generative Privacy Protection Against Membership Inference Attacks

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks

Learning Linear Utility Functions From Pairwise Comparison Queries

DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments

Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks