A non-invasive model fingerprinting framework based on collapsed generation, a phenomenon where certain input conditions produce highly consistent images across multiple stochastic seeds, is presented, establishing collapsed generation as a reliable intrinsic evidence source for non-invasive diffusion model ownership v...
Yuanmin Huang, Chen Chen, Geng Hong et al.· 0 citations
Results reveal a systemic vulnerability of frontier VLMs to meta-adaptive jailbreaks to meta-adaptive jailbreaks and motivate defenses against meta-level adversaries.
Ben-Lei Cui, Sheng-Yuan Pang, Yu-Ke Wang et al.· 1 citation
This work proposes AEGIS (Adaptive Evasion Guard via Identification and Steering), an inference-time defense that applies similarity-aware repulsion only at the identified vulnerable heads of VSA and preserves benign fidelity, avoids suppressing hard-negative concepts, and transfers to SD 2.1 and FLUX.
Yuanmin Huang, Zhenfei Zhang, Mi Zhang et al.· arXiv.org· 0 citations
Oyster-II is proposed, a reinforcement learning (RL)-based constructive safety alignment framework that adopts a Zero-RL paradigm combined with a multi-stage reinforcement learning strategy that comprehensively surpasses both Qwen3-14B and its predecessor Oyster-I on safety dimensions.
Jiyang Guan, Yong Xie, Jun Chen et al.· 0 citations
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