SIGMA: Secure GPT Inference with Function Secret Sharing

ePrint Report: SIGMA: Secure GPT Inference with Function Secret Sharing

Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, Rahul Sharma

Secure 2-party computation (2PC) enables secure inference that offers protection for both proprietary machine learning (ML) models and sensitive inputs to them. However, the existing secure inference solutions suffer from high latency and communication overheads, particularly for transformers. Function secret sharing (FSS) is a recent paradigm for obtaining efficient 2PC protocols with a preprocessing phase.
We …

computation eprint report function gpt inputs machine machine learning party protection report secret sharing sigma solutions