Flint Xiaofeng Fan

Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs

2025 · arXiv (Cornell University)

The rise of reinforcement learning (RL) in critical real-world applications demands a fundamental rethinking of privacy in AI systems. Traditional privacy frameworks, designed to protect isolated data points, fall short for sequential decision-making systems where …