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Collusion attacks can render traditional model fingerprinting ineffective, but this new method not only embeds fingerprints but also sabotages the quality of colluded outputs.
Stop deepfakes before they start: ID-Eraser makes faces unusable for swapping by injecting subtle, learnable perturbations directly into identity embeddings.
Diffusion image watermarks can now simultaneously resist adversarial framing and pinpoint tampering, thanks to a dual-channel approach.