Kangjie Chen

Stealing Deep Reinforcement Learning Models for Fun and Profit

2020 · arXiv (Cornell University)

This paper presents the first model extraction attack against Deep Reinforcement Learning (DRL), which enables an external adversary to precisely recover a black-box DRL model only from its interaction with the environment. Model extraction attacks …

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models

2025 · arXiv (Cornell University)

Large Language Models (LLMs) have been augmented with web search to overcome the limitations of the static knowledge boundary by accessing up-to-date information from the open Internet. While this integration enhances model capability, it also …