Associate Professor, University of Waterloo
4 papers at NeurIPS 2025
Large fixed context length limits exploration and introduces redundancy in MARL. We propose an adaptive context length optimization method with Fourier-based low-frequency truncation to improve long-term decision-making.
DiffBreak provides the first reliable framework for differentiating through diffusion-based purification, revealing key vulnerabilities under adaptive attacks.
