BESA boosts encoder stealing attacks under perturbation defenses by detecting the defense and recovering clean feature vectors with a MagNet-style generator.
Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,
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BESA: Boosting Encoder Stealing Attack with Perturbation Recovery
BESA boosts encoder stealing attacks under perturbation defenses by detecting the defense and recovering clean feature vectors with a MagNet-style generator.