Abstract: Existing optimized adversarial attacks rely on the ability to search for perturbation within l p norm while keeping maximized loss for highly non-convex loss functions. Random initialization ...

Abstract: Recent advances in deep learning algorithms have shown impressive progress in image copy-move forgery detection (CMFD). However, these algorithms lack generalizability in practical scenarios ...

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