🧑‍🔬 Who cites Hongpeng Lin

190 citations of their works from 189 papers of our library (of the 149,439 whose bibliographies we read) · 64 with a page here, the most cited first · ← Hongpeng Lin

1. Jailbreaking Black Box Large Language Models in Twenty QueriesarXiv:2310.08419Patrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 553 citations
2. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
3. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsarXiv:2308.03825Xinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 329 citations
4. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al.2024 · 277 citations
5. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyConference on Neural Information Processing Systems (NeurIPS)Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 251 citations
6. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 168 citations
7. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
8. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
9. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 127 citations
10. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
11. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
12. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 92 citations
13. SORRY-Bench: Systematically Evaluating Large Language Model Safety RefusalarXiv:2406.14598Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.2024 · 87 citations
14. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentConference on Empirical Methods in Natural Language Processing (EMNLP)Vyas Raina, Adian Liusie, Mark Gales2024 · 86 citations
15. On Prompt-Driven Safeguarding for Large Language ModelsarXiv:2401.18018Chujie Zheng, Fan Yin, Hao Zhou, et al.2024 · 85 citations
16. Improving Alignment and Robustness with Circuit BreakersConference on Neural Information Processing Systems (NeurIPS)Andy Zou, Long Phan, Justin Wang, et al.2024 · 83 citations
17. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
18. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
19. JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak AttacksarXiv:2404.03027Weidi Luo, Siyuan Ma, Xiaogeng Liu, et al.2024 · 66 citations
20. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
21. Attacking Vision-Language Computer Agents via Pop-upsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhe Zhang, Tao Yu, Diyi Yang2025 · 32 citations
22. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
23. Biased LLMs can Influence Political Decision-MakingAnnual Meeting of the Association for Computational Linguistics (ACL)Jillian Fisher, Shangbin Feng, Robert Aron, et al.2025 · 20 citations
24. Jailbreak Large Vision-Language Models Through Multi-Modal LinkageAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Xiaofei Zhou, Yichen Wang, et al.2025 · 20 citations
25. Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2025 · 19 citations
26. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
27. When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex CiphersarXiv:2402.10601Divij Handa, Zehua Zhang, Amir Saeidi, et al.2024 · 15 citations
28. MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teamingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Jing Li, Wenya Wang, et al.2025 · 14 citations
29. Safety Alignment via Constrained Knowledge UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zesheng Shi, Yucheng Zhou, Jing Li, et al.2025 · 13 citations
30. from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
31. Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable RewardAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Zesheng Shi, Zeen Zhu, et al.2026 · 10 citations
32. Automated Progressive Red TeamingInternational Conference on Computational Linguistics (COLING)Bojian Jiang, Yi Jing, Tong Wu, et al.2025 · 10 citations
33. The Dark Side of Function Calling: Pathways to Jailbreaking Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihui Wu, Haichang Gao, Jianping He, et al.2025 · 8 citations
34. CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language ModelsFindings of the Association for Computational LinguisticsZhenhong Zhou, Zherui Li, Jie Zhang, et al.2026 · 7 citations
35. From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajun Zhang, Zeyu Cui, Jiaxi Yang, et al.2026 · 6 citations
36. How Should We Enhance the Safety of Large Reasoning Models: An Empirical StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, et al.2026 · 6 citations
37. HAUNTATTACK: When Attack Follows Reasoning as a ShadowFindings of the Association for Computational LinguisticsJingyuan Ma, Rui Li, Zheng Li, et al.2026 · 3 citations
38. SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web AgentsFindings of the Association for Computational LinguisticsZonghao Ying, Yangguang Shao, Jianle Gan, et al.2026 · 3 citations
39. TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiqiao Xiong, Ouxiang Li, Zhuo Liu, et al.2026 · 3 citations
40. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
41. A Review of Incorporating Psychological Theories in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zizhou Liu, Ziwei Gong, Lin Ai, et al.2026 · 1 citation
42. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
43. Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Zhao, Marta Knežević, Tanja Käser2026 · 1 citation
44. From Attack Surfaces to Actual Operations: A Survey of Modern LLM JailbreaksFindings of the Association for Computational LinguisticsRuikang Zhou, Changsheng Sun, Mark Huasong Meng2026 · 1 citation
45. Knowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral DisengagementFindings of the Association for Computational LinguisticsHaiming Qin, Jianxun Lian, Qimin Zhong, et al.2026 · 1 citation
46. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
47. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
48. Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhao, Zhe Li, Yige Li, et al.2026 · 1 citation
49. A Simple and Efficient Learning-Style Prompting for LLM JailbreakingFindings of the Association for Computational LinguisticsXuan Luo, Yue Wang, Zefeng He, et al.2026
50. Adaptive Backtracking for Privacy Protection in Large Language ModelsFindings of the Association for Computational LinguisticsZhihao Yao, Yuxuan Gu, Xiachong Feng, et al.2026
51. Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation MonitoringAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohao Luo, Ying Wei, Rui Zhao2026
52. DIAG-Sapienza at GSI:detect: Joint Detection and Classification of Gender Stereotypes with Structured Prompting and Fine-TuningEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopOlga E. Sorokoletova, Emanuele Musumeci, Daniele Nardi2026
53. Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization InvarianceAnnual Meeting of the Association for Computational Linguistics (ACL)Ao Wang, Xinghao Yang, Yongshun Gong, et al.2026
54. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
55. Merlin's Whisper: Enabling Efficient Reasoning in Large Language Models via Black-box Persuasive PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Heming Xia, Cunxiao Du, Rui Li, et al.2026
56. More Thinking, Less Talking: Internalizing Deliberative Safety into LLM ParametersAnnual Meeting of the Association for Computational Linguistics (ACL)Guan Wang, Xuehai Tang, Biyu Zhou, et al.2026
57. Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ye Yu, Haibo Jin, Yaoning Yu, et al.2026
58. Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Yupeng Qi, Ziyu Lyu, Lixin Cui, et al.2026
59. Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wai Man Si, Mingjie Li, Michael Backes, et al.2026
60. Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Guan Wang, Biyu Zhou, Xuehai Tang, et al.2026
61. Retrieval-Augmented Defense: Adaptive and Controllable Jailbreak Prevention for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Guangyu Yang, Jinghong Chen, Jingbiao Mei, et al.2026
62. SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box JailbreakingAnnual Meeting of the Association for Computational Linguistics (ACL)Yingjie Xue, Xingyou Xia, Jun Zhang, et al.2026
63. Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation AblationFindings of the Association for Computational LinguisticsWenpeng Xing, Moran Fang, Guangtai Wang, et al.2026
64. TruthTrap: A Bilingual Benchmark for Evaluating Factually Correct Yet Misleading Information in Question AnsweringFindings of the Association for Computational LinguisticsMohammadamin Shafiei, Hamidreza Saffari, Mohammad Taher Pilehvar, et al.2026

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