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RAEDiff: Denoising Diffusion Probabilistic Models Based Reversible Adversarial Examples Self-Generation and Self-Recovery
RAEs are adversarial perturbed images that can be restored to the original.
DeepHider: A Covert NLP Watermarking Framework Based on Multi-task Learning
Specifically, a covert trigger set is established to realize the perception-free verification of the watermarking model, and a novel auxiliary network is designed to improve the robustness and security of the watermarking model.
PCPT and ACPT: Copyright Protection and Traceability Scheme for DNN Models
Because the existing traceability mechanisms are used for models without watermarks, a small number of false-positives are generated.
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