Distributed Function Secret Sharing and Applications
Pengzhi Xing
Network and Distributed System Security (NDSS) Symposium 2025 · Day 2 · Secure Protocols
This talk, presented by Pengzhi Xing at the NDSS Symposium, delves into the critical advancements in **Distributed Function Secret Sharing (DFSS)** and its practical applications within the realm of **Secure Multi-Party Computation (MPC)**. The research addresses fundamental limitations of existing FSS schemes, primarily the reliance on a trusted dealer and the inability to efficiently handle arithmetic inputs and outputs. By introducing a novel dealerless FSS scheme supporting both arithmetic Distributed Point Function (DPF) and Distributed Comparison Function (DCF), this work significantly enhances the practicality, security, and performance of privacy-preserving computations.
AI review
Legitimate academic cryptography work solving a real problem — removing the trusted dealer from FSS while adding arithmetic support is a meaningful contribution to the MPC literature. The write-up reads like an AI-expanded abstract rather than a talk transcript, which makes it hard to assess the actual presentation, but the underlying research has substance and the NDSS venue validates peer review.