On the use of approximate computing for improving the robustness of DNNs against adversarial attacks

The Journal of Supercomputing 2026

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Authors: Sahand Divsalar, Fatemeh Arezoomand, Shaghayegh Vahdat, Ali Afzali‐Kusha, Massoud Pedram

DOI: 10.1007/s11227-026-08268-0

Cited by: 1

References: 22

Fields of Study & Subjects

Physical Unclonable Functions (PUFs) and Hardware Security Adversarial Robustness in Machine Learning Low-power high-performance VLSI design

References 22