Diffusion Models

Oct 1, 2025
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.
Youngjin Kwon, Xiao Zhang
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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.
Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst
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