Author

Suhyun Kim

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#artificial intelligence Preprint Oct 2026

Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge

LLMs have advanced rapidly, raising growing concerns about their safety. Recent work has proposed approaches to detect and defend against attacks including defenses at decoding stage that leverage models'hidden states. However, existing decoding-stage defenses suffer from two limitations. First, they introduce a trade-...

Wonjun Lee, Kyungsik Yang, Gaeun Ji et al. · 0 citations

#natural language process... Preprint Aug 2026

The Fragility of Jailbreak Robustness Across Operational States

This work finds that jailbreak robustness is highly fragile to operational-state variation: even when the attack remains fixed, changing only an ordinary system prompt not designed to affect safety can dramatically alter attack success rates.

Yuna Park, Hwang Youn Kim, Yujin Kim et al. · 0 citations