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Who cites Micah Goldblum

516 citations of their works from 493 papers of our library (of the 149,439 whose bibliographies we read) · 122 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Micah Goldblum

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  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  3. Evaluating Large Language Models Trained on CodearXiv:2107.03374Mark Chen, Jerry Tworek, Heewoo Jun, et al.2021 · 2,659 citations
  4. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
  5. Universal and Transferable Adversarial Attacks on Aligned Language ModelsarXiv:2307.15043Andy Zou, Zifan Wang, Nicholas Carlini, et al.2023 · 1,005 citations
  6. Jailbreaking Black Box Large Language Models in Twenty QueriesarXiv:2310.08419Patrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 553 citations
  7. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  8. Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
  9. AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language ModelsarXiv:2310.04451Xiaogeng Liu, Nan Xu, Muhao Chen, et al.2023 · 350 citations
  10. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
  11. "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
  12. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 310 citations
  13. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
  14. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  15. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
  16. 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
  17. 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
  18. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  19. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsarXiv:2309.00614Neel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 236 citations
  20. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
  21. Scalable Extraction of Training Data from (Production) Language ModelsarXiv:2311.17035Milad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 211 citations
  22. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al.2024 · 202 citations
  23. Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationarXiv:2310.06987Yangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 169 citations
  24. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksarXiv:2310.03684Alexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 164 citations
  25. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
  26. Detecting Language Model Attacks with PerplexityarXiv:2308.14132Gabriel Alon, Michael Kamfonas2023 · 141 citations
  27. Exploring Length Generalization in Large Language ModelsarXiv:2207.04901Cem Anil, Yuhuai Wu, Anders Andreassen, et al.2022 · 139 citations
  28. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
  29. 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
  30. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 119 citations
  31. LLM Self Defense: By Self Examination, LLMs Know They Are Being TrickedarXiv:2308.07308Mansi Phute, Alec Helbling, Matthew Hull, et al.2023 · 119 citations
  32. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
  33. Certifying LLM Safety against Adversarial PromptingarXiv:2309.02705Aounon Kumar, Chirag Agarwal, Suraj Srinivas, et al.2023 · 113 citations
  34. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
  35. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
  36. Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Bochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 109 citations
  37. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
  38. Who Wrote this Code? Watermarking for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Taehyun Lee, Seokhee Hong, Jaewoo Ahn, et al.2024 · 103 citations
  39. PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt OptimizationarXiv:2310.16427Xinyuan Wang, Chenxi Li, Zhen Wang, et al.2023 · 102 citations
  40. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
  41. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsarXiv:2310.15140Sicheng Zhu, Ruiyi Zhang, Bang An, et al.2023 · 90 citations
  42. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space SteeringarXiv:2311.06668Sheng Liu, Haotian Ye, Lei Xing, et al.2023 · 89 citations
  43. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  44. 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
  45. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models EasilyarXiv:2311.08268Peng Ding, Jun Kuang, Dan Ma, et al.2023 · 85 citations
  46. Formalizing and Benchmarking Prompt Injection Attacks and DefensesarXiv:2310.12815Yupei Liu, Yuqi Jia, Runpeng Geng, et al.2023 · 84 citations
  47. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
  48. Improving Alignment and Robustness with Circuit BreakersConference on Neural Information Processing Systems (NeurIPS)Andy Zou, Long Phan, Justin Wang, et al.2024 · 83 citations
  49. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  50. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
  51. Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
  52. People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated textAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Mohit Iyyer2025 · 33 citations
  53. Unveiling Privacy Risks in LLM Agent MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Wang, Weiyi He, Shenglai Zeng, et al.2025 · 33 citations
  54. MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Dominik Macko, Jakub Kopál, Robert Moro, et al.2025 · 28 citations
  55. Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haneul Yoo, Yongjin Yang, Hwaran Lee2025 · 26 citations
  56. Intention Analysis Makes LLMs A Good Jailbreak DefenderInternational Conference on Computational Linguistics (COLING)Yuqi Zhang, Liang Ding, Lefei Zhang, et al.2025 · 21 citations
  57. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from JailbreakingConference on Empirical Methods in Natural Language Processing (EMNLP)Junda Zhu, Lingyong Yan, Shuaiqiang Wang, et al.2025 · 21 citations
  58. 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
  59. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.2025 · 19 citations
  60. 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
  61. 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
  62. 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
  63. Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Annual Meeting of the Association for Computational Linguistics (ACL)Leyi Pan, Aiwei Liu, Shiyu Huang, et al.2025 · 11 citations
  64. 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
  65. 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
  66. Exploring the Limitations of Detecting Machine-Generated TextInternational Conference on Computational Linguistics (COLING)Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, et al.2025 · 7 citations
  67. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation RouterAnnual Meeting of the Association for Computational Linguistics (ACL)Lingrui Mei, Shenghua Liu, Yiwei Wang, et al.2026 · 4 citations
  68. CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation BackdoorConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenhua Xu, Xixiang Zhao, Xubin Yue, et al.2025 · 4 citations
  69. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
  70. Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement LearningFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xueyuan Lin, et al.2026 · 3 citations
  71. Universal Jailbreak Suffixes Are Strong Attention HijackersTransactions of the Association for Computational Linguistics (TACL)Matan Ben-Tov, Mor Geva, Mahmood Sharif2026 · 3 citations
  72. Unraveling LLM Jailbreaks Through Safety Knowledge NeuronsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chongwen Zhao, Yutong Ke, Kaizhu Huang2026 · 3 citations
  73. Explaining Generalization of AI-Generated Text Detectors Through Linguistic AnalysisConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuxi Xia, Kinga Stańczak, Benjamin Roth2026 · 2 citations
  74. In-Context Representation HijackingAnnual Meeting of the Association for Computational Linguistics (ACL)Itay Yona, Amir Sarid, Michael Karasik, et al.2026 · 2 citations
  75. Persona Jailbreaking in Large Language ModelsFindings of the Association for Computational LinguisticsJivnesh Sandhan, Fei Cheng, Tushar Sandhan, et al.2026 · 2 citations
  76. Adversarial Decoding: Generating Readable Documents for Adversarial ObjectivesFindings of the Association for Computational LinguisticsCollin Zhang, Tingwei Zhang, Vitaly Shmatikov2026 · 1 citation
  77. Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Pu, Chaozhuo Li, Rui Ha, et al.2026 · 1 citation
  78. BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream CamouflageFindings of the Association for Computational LinguisticsKalyan Nakka, Nitesh Saxena2026 · 1 citation
  79. DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable AttributionFindings of the Association for Computational LinguisticsL. D. M. S. Sai Teja, N. Siva Gopala Krishna, Ufaq Khan, et al.2026 · 1 citation
  80. Frankentext: Stitching random text fragments into long-form narrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Chau Minh Pham, Jenna Russell, Dzung Pham, et al.2026 · 1 citation
  81. 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
  82. Identifying Bias in Machine-generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.2026 · 1 citation
  83. LogicPoison: Logical Attacks on Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yilin Xiao, Jin Chen, Qinggang Zhang, et al.2026 · 1 citation
  84. Measuring Human Contribution in AI-Assisted Content GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yueqi Xie, Tao Qi, Jingwei Yi, et al.2026 · 1 citation
  85. PARASITE: Conditional System Prompt Poisoning to Hijack LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Viet Pham, Thai Le2026 · 1 citation
  86. 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
  87. Spotlights and Blindspots: Evaluating Machine-Generated Text DetectionLanguage Resources and Evaluation Conference (LREC)Kevin Stowe, Kailash Patil2026 · 1 citation
  88. UIT-AMMC at SemEval-2026 Task 13: Exploiting Structural Formatting Signatures for Robust AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Cuong Pham, Minh Nguyen, Minh Le, et al.2026 · 1 citation
  89. A Simple and Efficient Learning-Style Prompting for LLM JailbreakingFindings of the Association for Computational LinguisticsXuan Luo, Yue Wang, Zefeng He, et al.2026
  90. Calibrating Inference Time Alignment with Sequence-level Risk AccumulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shanwen Tan, Ziyang Dong, Wei Ju, et al.2026
  91. CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European LanguagesFindings of the Association for Computational LinguisticsDominik Macko, Jakub Kopál2026
  92. CodeRipple: Wavelet-Based Detection of LLM-Generated CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Yao, Zhendong Mao, Quan Wang2026
  93. Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced ResumesLanguage Resources and Evaluation Conference (LREC)Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.2026
  94. Defense Against Knowledge Poisoning Attack on GraphRAGAnnual Meeting of the Association for Computational Linguistics (ACL)Havva Alizadeh Noughabi, Fattane Zarrinkalam, Ali Dehghantanha2026
  95. DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Junchao Wu, Yefeng Liu, Chenyu Zhu, et al.2026
  96. 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
  97. Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaowei Zhu, Yubing Ren, Fang Fang, et al.2026
  98. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
  99. How Adversarial Environments Mislead Agentic AI?Findings of the Association for Computational LinguisticsZhonghao Zhan, Huichi Zhou, Zhenhao Li, et al.2026
  100. Knowledge-Infused Multi-Bit Watermarking for RAG Knowledge BasesFindings of the Association for Computational LinguisticsKe Yang, Shuguang Yuan, Jing Yu, et al.2026

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