Recent personalized LLM agents increasingly transform information retained in memory into compressed or structured representations, which we call user models, to guide later decisions. When source wording is removed from the state reachable through the ordinary interface, these models are commonly treated as more priva...
Hao-Yang Li, Ya-Xin Xiao, Qing-Qing Ye et al.· 0 citations
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
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
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