Presentation
PABTG: A Pipeline Architecture for Beaver Triple Generation in Secure Multi-party Computation
DescriptionSecure Multi-Party Computation (MPC) is proposed to protect the data privacy from a group of parties, enabling collaborative computation of correct results for target functions. SPDZ, a set of mature MPC protocols widely used in machine learning and other scenarios, requires a significant number of Beaver triples for secure multiplications among parties. Given no Trusted Third Party (TTP) participated, the generation time constitutes over 92% of the total running time. This paper introduces MPC-PAT, a high-performance pipeline architecture designed for efficient Beaver triple generation. MPC-PAT accelerates random number generation, hash function, and modular multiplication in two finite fields. The evaluation results from its FPGA implementation demonstrate substantial speedups, ranging from 40x to 99x for basic operations and 2x to 136x for various convolutional networks compared to the existing SPDZ works.
Event Type
Work-in-Progress Poster
TimeWednesday, June 265:00pm - 6:00pm PDT
LocationLevel 2 Lobby
AI
Autonomous Systems
Cloud
Design
EDA
Embedded Systems
IP
Security