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cs.CV2024
Fall Leaf Adversarial Attack on Traffic Sign Classification
Anthony Etim, Jakub Szefer
Adversarial input image perturbation attacks have emerged as a significant threat to machine learning algorithms, particularly in image classification setting. These attacks involv…
cs.CR2024
Time Traveling to Defend Against Adversarial Example Attacks in Image Classification
Anthony Etim, Jakub Szefer
Adversarial example attacks have emerged as a critical threat to machine learning. Adversarial attacks in image classification abuse various, minor modifications to the image that…
cs.CR2024
Systematic Use of Random Self-Reducibility against Physical Attacks
Ferhat Erata, TingHung Chiu, Anthony Etim +7
This work presents a novel, black-box software-based countermeasure against physical attacks including power side-channel and fault-injection attacks. The approach uses the concept…