Distributed Point Functions and Function Secret Sharing

A distributed point function DPF is a cryptographic primitive that enables compressed additive sharing of a secret weight-1 vector equivalently, a point function across two or more parties. The appealing lightweight structure of DPF constructions has enabled a wide range of applications. These...

Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing

Split Learning SL -- splits a model into two distinct parts to help protect client data while enhancing Machine Learning ML processes. Though promising, SL has proven vulnerable to different attacks, thus raising concerns about how effective it may be in terms of data privacy. Recent works have...