1 citations · 2 across the 13 of their papers we have counts for
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Anti-Reference: Universal and Immediate Defense Against Reference-Based Generation
Yiren Song, Shengtao Lou, Xiaokang Liu +4
Diffusion models have revolutionized generative modeling with their exceptional ability to produce high-fidelity images. However, misuse of such potent tools can lead to the creati…
IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation
Yiren Song, Pei Yang, Hai Ci +1
Recently, zero-shot methods like InstantID have revolutionized identity-preserving generation. Unlike multi-image finetuning approaches such as DreamBooth, these zero-shot methods…
Steganalysis on Digital Watermarking: Is Your Defense Truly Impervious?
Pei Yang, Hai Ci, Yiren Song +1
Digital watermarking techniques are crucial for copyright protection and source identification of images, especially in the era of generative AI models. However, many existing wate…
WMAdapter: Adding WaterMark Control to Latent Diffusion Models
Hai Ci, Yiren Song, Pei Yang +2
Watermarking is crucial for protecting the copyright of AI-generated images. We propose WMAdapter, a diffusion model watermark plugin that takes user-specified watermark informatio…
RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
Hai Ci, Pei Yang, Yiren Song +1
We revisit Tree-Ring Watermarking, a recent diffusion model watermarking method that demonstrates great robustness to various attacks. We conduct an in-depth study on it and reveal…