Stealing Split Learning Bottom Models by Recovering Embedding Geometry
Qinbo Zhang, Yanhang Shi, Ziying Zhang et al.
· 1 citation
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Experiments show that with only 1K synthesized samples, AdvSafe-aligned LRMs achieve significantly stronger jailbreak robustness than existing baselines, with almost no utility degradation, demonstrating that learning unsafety knowledge enables a superior robustness-utility trade-off and generalizes beyond seen attack patterns.