Sok: Pitfalls in evaluating black-box attacks
Numerous works study black-box attacks on image classifiers, where adversaries generate
adversarial examples against unknown target models without having access to their internal …
adversarial examples against unknown target models without having access to their internal …
TransMix: Crafting highly transferable adversarial examples to evade face recognition models
YM Khedr, X Liu, K He - Image and Vision Computing, 2024 - Elsevier
The main challenge in deceiving face recognition (FR) models lies in the target model under
the black-box setting. Existing works seek to generate adversarial examples to improve the …
the black-box setting. Existing works seek to generate adversarial examples to improve the …