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Preprint Sep 2026

FeatMark: Feature-level Watermark Protection against Mimicry Attacks with Diffusion Models

Text-to-image diffusion models enable data-efficient"mimicry"attacks, wherein adversaries fine-tune the model on a handful of public photos to synthesize convincing forgeries of a target individual. A common countermeasure is to embed imperceptible, low-energy watermarks, yet recent studies show these signatures are br...

Hao-Yang Li, Ruo-Xi Sun, Qing-Qing Ye et al. · 0 citations
#machine learning Preprint Sep 2026

TraceGuard: Adaptive Multimodal Poison Filtering through Cross-Feature Rank Agreement

Multimodal training relies on image-text corpora collected from external sources, creating opportunities for attackers to poison the data. Stealthy attacks can preserve plausible image-text pairs while concealing the differences used by detectors, so apparently clean data can still redirect the trained model. We theref...

Hao-Yang Li, Ya-Xin Xiao, Lin-Yan Dai et al. · 0 citations
#artificial intelligence Preprint Sep 2026

When Honesty is Not Enough in AI Debate

Scalable oversight aims to verify the behaviour of agents whose capabilities exceed those of their overseers. AI debate has been proposed as an oversight solution in which competing agents help a resource-limited verifier assess claims that it cannot reliably evaluate unaided. Much of its promise rests on incentivizing...

Rayne Holland, Li-Ming Zhu, Jason Xue · 0 citations

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