Optimization for Robustness Evaluation Beyond ℓp Metrics

• Published in: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1 - 5
• Main Authors: Liang, Hengyue, Liang, Buyun, Cui, Ying, Mitchell, Tim, Sun, Ju
• Format: Conference Proceeding
• Language: English
• Published: IEEE 04.06.2023
• Subjects: adversarial attack; adversarial robustness; constrained optimization; Deep learning; deep neural networks; Measurement; Numerical models; perceptual distance; Perturbation methods; Robustness; robustness evaluation; Signal processing; Signal processing algorithms

Empirical evaluation of the adversarial robustness of deep learning models involves solving non-trivial constrained optimization problems. Popular numerical algorithms to solve these constrained problems rely predominantly on projected gradient descent (PGD) and mostly handle adversarial perturbatio...