🧑‍🔬 Who cites Junxiao Yang

76 citations of their works from 75 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · ← Junxiao Yang

1. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
2. 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
3. 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
4. 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
5. Detoxifying Large Language Models via Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.2024 · 84 citations
6. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
7. Intention Analysis Makes LLMs A Good Jailbreak DefenderInternational Conference on Computational Linguistics (COLING)Yuqi Zhang, Liang Ding, Lefei Zhang, et al.2025 · 21 citations
8. 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
9. 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
10. Revisiting Jailbreaking for Large Language Models: A Representation Engineering PerspectiveInternational Conference on Computational Linguistics (COLING)Tianlong Li, Zhenghua Wang, Wenhao Liu, et al.2025 · 17 citations
11. 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
12. Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and AlignmentarXiv:2501.13080Melissa Kazemi Rad, Huy Nghiem, Andy Luo, et al.2025 · 9 citations
13. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
14. 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
15. When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning ModelsFindings of the Association for Computational LinguisticsYingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.2026 · 1 citation
16. A Simple and Efficient Learning-Style Prompting for LLM JailbreakingFindings of the Association for Computational LinguisticsXuan Luo, Yue Wang, Zefeng He, et al.2026
17. 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
18. LCO: LLM-based Constraint Optimization for Safer Agentic LLMs in Real-world TasksFindings of the Association for Computational LinguisticsJiayong Wan, Jiawei Chen, Zhaoxia Yin, et al.2026
19. Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability PatchingFindings of the Association for Computational LinguisticsDan Shi, Renren Jin, Zhuowen Han, et al.2026
20. Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language ModelsFindings of the Association for Computational LinguisticsRagib Amin Nihal, Rui Wen, Kazuhiro Nakadai, et al.2026
21. 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
22. SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Ziyi Ni, Huacan Wang, et al.2026
23. TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseFindings of the Association for Computational LinguisticsCheng Liu, Xiaolei Liu, Xingyu Li, et al.2026

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