Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache
Type
Publication
In IEEE Symposium on Security and Privacy (S&P/Oakland)
Meng Li
Assistant Professor
I develop efficient and privacy-preserving AI systems through algorithm–hardware co-design, with applications in large language models, embodied AI, and multimodal intelligence.