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Dual Defense: Adversarial, Traceable, and Invisible Robust Watermarking against Face Swapping
Dual Defense invisibly embeds a single robust watermark within the target face to actively respond to sudden cases of malicious face swapping.
Feature Extraction Matters More: Universal Deepfake Disruption through Attacking Ensemble Feature Extractors
Adversarial example is a rising way of protecting facial privacy security from deepfake modification.
Detection Defense Against Adversarial Attacks with Saliency Map
Our experimental results of some representative adversarial attacks on common datasets including ImageNet and popular models show that our method can detect all the attacks with high detection success rate effectively.
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