AI RESEARCH
The Unseen Adversaries: Robust and Generalized Defense Against Adversarial Patches
arXiv CS.CV
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ArXi:2604.26317v1 Announce Type: new The vulnerabilities of deep neural networks against singularities have raised serious concerns regarding their deployment in the physical world. One of the most prominent and impactful physical-world adversarial perturbations is the attachment of patches to clean images, known as an adversarial patch attack. Similarly, natural noises such as Gaussian and Salt\&Pepper are highly prevalent in the real world.