Papers by Shuaibiao Han
Dictionary Guided Sparse Logit Editing for Reliable Jailbreak Attacks (2026.findings-acl)
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| Challenge: | Existing methods to optimize large language models suffer from high computational costs and produce uninterpretable, high-perplexity inputs. |
| Approach: | They propose a sparse index-based intervention that bypasses guardrails via sparser logit editing. |
| Outcome: | The proposed method bypasses guardrails by modifying pre-softmax logits without gradients or auxiliary models. |
Defending LLMs against Jailbreak Attacks via Template-Based ICL with a Defensive Suffix (2026.findings-acl)
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| Challenge: | State-of-the-art large language models (LLMs) are vulnerable to jailbreak attacks, such as GCG and AutoDAN. |
| Approach: | They propose to take the advances of online In-Context Learning and an offline defensive suffix and optimize them using an iterative algorithm and an online stochastic random search to identify the most effective ICL demonstrations. |
| Outcome: | The proposed method reduces attack success rate to nearly *0% while maintaining the model’s utility on benign tasks and incurring only *negligible* computational overhead. |