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Benjamin Lee

2 accepted papers

2024

Toward Efficient Inference for Mixture of Experts

NeurIPS 2024poster

Mixture-of-Experts (MoE) models have recently gained steam in achieving the state-of-the-art performance in a wide range of tasks in computer vision and natural language processing. They effectively expand the model capacity while incurring a minimal increase in computation cost during training. How…

2023

MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection

ICLR 2023poster

Security vulnerabilities in computer systems raise serious concerns as computers process an unprecedented amount of private and sensitive data today. Cache timing attacks (CTA) pose an important practical threat as they can effectively breach many protection mechanisms in today’s systems. However, t…

Cited by 7SourcePDFScholar