Leaking secrets in homomorphic encryption with side-channel attacks
Aydin, F., & Aysu, A. (2024, January 12). JOURNAL OF CRYPTOGRAPHIC ENGINEERING.
author keywords: Homomorphic encryption; SEAL; Number theoretic transform; Compiler optimizations; Side-channel attacks; Machine learning
TL;DR:
This article demonstrates side-channel leakages of the Microsoft SEAL HE library and proposes two attacks that can steal encryption keys during the key generation phase by abusing the leakage of ternary value assignments that occurs during the number theoretic transform (NTT) algorithm.
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