A black-box face recognition attack that augments surrogate models with diverse parameter initializations and hard-model feature perturbations, achieving higher transferability.
Towards solving the deepfake problem: An analysis on improving deepfake detection using dynamic face augmentation
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Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
A black-box face recognition attack that augments surrogate models with diverse parameter initializations and hard-model feature perturbations, achieving higher transferability.