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Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
In this paper, we propose the Adversarial Decoupling Augmentation Framework (ADAF), addressing these issues by targeting the image-text fusion module to enhance the defensive performance of facial privacy protection algorithms.
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe
Most detection methods are designed to verify whether a model is infected with presumed types of backdoor attacks, yet the adversary is likely to generate diverse backdoor attacks in practice that are unforeseen to defenders, which challenge current detection strategies.
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