2 papers
cs.LG2025
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer +1
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 p…
cs.CV2023
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal +2
While VideoQA Transformer models demonstrate competitive performance on standard benchmarks, the reasons behind their success are not fully understood. Do these models capture the…