NatADiff: Adversarial Boundary Guidance for Natural Adversarial Diffusion
URL https://arxiv.org/pdf/2505.20934.pdf Stage Normal Science Paradigm framing The preprint operates within the deep learning paradigm, specifically focusing on adversarial attacks and defenses within the image classification domain. It addresses the sub-paradigm of denoising diffusion probabilistic models for image generation and their application to adversarial sample creation. Highlights The preprint presents a novel method (NatADiff) for […]
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