Protein Generative Models (PGMs) have revolutionized structural biology by enabling the design of complex 3D protein structures from sequence data. However, this breakthrough introduces a dual-use challenge, exposing high-value PGMs to economic risks like unauthorized model extraction and biosecurity threats such as bi...
Hua-Jie Chen, Xin Guo, Yuchen Shi et al.· 0 citations
Digital watermarking supports source attribution for AI-generated images, but its reliability depends on resistance to removal attacks. Some attacks attempt to remove watermarks by forcing the decoded watermark to differ from the original. However, this can produce an inverted watermark that remains detectable, causing...
Sai-Bo Ye, Hua-Jie Chen, Xin Guo et al.· 0 citations
It is found that the refusal-related signal of LRMs drops sharply at the first generated token under harmful queries, which is associated with unsafe response generation, and this work proposes SafeToken, a lightweight inference-time intervention that injects a learned continuous safety anchor precisely at reasoning on...
Yi-Zheng Yang, Hai-Ning Yu, Yue-Chen Wang et al.· 0 citations
Experimental results demonstrate that RISA improves refusal reliability while largely preserving model utility, offering a practical solution for response-aware refusal calibration in LLMs.
Wenhan Chang, Tian-Qing Zhu, P. Xiong et al.· 0 citations
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