🔗 Who cites «Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization»

69 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization»

Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 422 citations
1. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
   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 · 126 citations
   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 · 85 citations
   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
2. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 80 citations
   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

62 more papers of our library cite it; they have no page here yet.

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