Diffusion Models

Controllable Adversarial Makeup for Privacy via Text-Guided Diffusion
We introduce MASQUE, a diffusion-based framework that generates localized adversarial makeup guided by user-defined text prompts.
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DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
We propose DiffPAD, a novel framework that harnesses the power of diffusion models for adversarial patch decontamination.
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