Ning, Jianting

SIMC 2.0: Improved Secure ML Inference Against Malicious Clients

2022 · arXiv (Cornell University)

In this paper, we study the problem of secure ML inference against a malicious client and a semi-trusted server such that the client only learns the inference output while the server learns nothing. This problem …