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cs.AI2026
FUSE: An Evaluating Framework for Dangerous Capabilities of LLMs
Zhengyi Jin, Ru Zhang, Xiao Chen +5
Fragmented safety evaluation undermines the governance of dangerous AI capabilities. We present a modular framework that evaluates each model through three orthogonal pipelines---K…
cs.CV2026
From Concept Erasure to Style Purification: Contrastive Eigenbases for Artist Style Protection
Tong Zhang, Ru Zhang, Jianyi Liu
Text-to-image diffusion models can reproduce specific artists visual styles at extremely low cost, raising copyright and deployment safety concerns about unauthorized style mimicry…