Scalable zkSNARKs for Matrix Computations - A Generic Framework for Verifiable Deep Learning

Mingshu Cong, Sherman S. M. Chow, Siu-Ming Yiu, Tsz Hon Yuen. Scalable zkSNARKs for Matrix Computations - A Generic Framework for Verifiable Deep Learning. In Goichiro Hanaoka, Bo-Yin Yang, editors, Advances in Cryptology - ASIACRYPT 2025 - 31st International Conference on the Theory and Application of Cryptology and Information Security, Melbourne, VIC, Australia, December 8-12, 2025, Proceedings, Part V. Volume 16249 of Lecture Notes in Computer Science, pages 363-395, Springer, 2025. [doi]

Abstract

Abstract is missing.