One Paper Accepted by IEEE S&P (Oakland)
One paper on privacy-preserving generative large language model inference is accepted by IEEE Symposium on Security and Privacy (S&P/Oakland).
The title of the paper is “Cachemir: Fully Homomorphic Encrypted Inference of Generative Large Language Model with KV Cache”. This work is led by Ye Yu.