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With the rapid evolution of Large Language Models (LLMs), LLM-based agents and Multi-agent Systems (MAS) have significantly expanded the capabilities of LLM ecosystems.
Cooperative multi-agent learning: The state of the art
Liviu Panait and Sean Luke. 2005 · 2005
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Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro. 2022 · 2022
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Abusing images and sounds for indirect instruction injection in multi-modal LLMs
Eugene Bagdasaryan, Tsung-Yin Hsieh, Ben Nassi, and Vitaly Shmatikov. 2023 · 2023
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2023 · 2023
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Understanding multi-turn toxic behaviors in open-domain chatbots. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses . 282–296
Bocheng Chen, Guangjing Wang, Hanqing Guo, Yuanda Wang, and Qiben Yan. 2023 · 2023
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Improving factuality and reasoning in language models through multiagent debate. In Forty-first International Conference on Machine Learning
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. 2023 · 2023
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Misusing tools in large language models with visual adversarial examples
Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, and Earlence Fernandes. 2023 · 2023
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Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection. In Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security . 79–90
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz. 2023 · 2023
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Certifying llm safety against adversarial prompting
Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Aaron Jiaxun Li, Soheil Feizi, and Himabindu Lakkaraju. 2023 · 2023
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Camel: Communicative agents for" mind" exploration of large language model society
Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem. 2023a · 2023
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Haoran Li, Mingshi Xu, and Yangqiu Song. 2023b · 2023
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Prompt Injection attack against LLM-integrated Applications
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Zihao Wang, Xiaofeng Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, et al · 2023
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Trustworthy LLMs: A survey and guideline for evaluating large language models’ alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, and Hang Li. 2023b · 2023
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Text embeddings reveal (almost) as much as text
John X Morris, Volodymyr Kuleshov, Vitaly Shmatikov, and Alexander M Rush. 2023 · 2023
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Identifying the risks of lm agents with an lm-emulated sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J Maddison, and Tatsunori Hashimoto. 2023 · 2023
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Multi-agent collaboration: Harnessing the power of intelligent llm agents
Yashar Talebirad and Amirhossein Nadiri. 2023 · 2023
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Evil geniuses: Delving into the safety of llm-based agents
Yu Tian, Xiao Yang, Jingyuan Zhang, Yinpeng Dong, and Hang Su. 2023 · 2023
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Describe, explain, plan and select: interactive planning with llms enables open-world multi-task agents
Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Shawn Ma, and Yitao Liang. 2023 · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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Poisoning retrieval corpora by injecting adversarial passages
Zexuan Zhong, Ziqing Huang, Alexander Wettig, and Danqi Chen. 2023 · 2023
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Toolqa: A dataset for llm question answering with external tools
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, and Chao Zhang. 2023 · 2023
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Universal and transferable adversarial attacks on aligned language models
Andy Zou, Zifan Wang, Nicholas Carlini, Milad Nasr, J Zico Kolter, and Matt Fredrikson. 2023 · 2023
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Prompt Leakage effect and defense strategies for multi-turn LLM interactions
Divyansh Agarwal, Alexander R Fabbri, Ben Risher, Philippe Laban, Shafiq Joty, and Chien-Sheng Wu. 2024 · 2024
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Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, and William Wang. 2024 · 2024
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Maya Anderson, Guy Amit, and Abigail Goldsteen. 2024 · 2024
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Agentharm: A benchmark for measuring harmfulness of llm agents
Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, et al · 2024
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Embedding-based classifiers can detect prompt injection attacks
Md Ahsan Ayub and Subhabrata Majumdar. 2024 · 2024
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A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al · 2024
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BlockAgents: Towards Byzantine-Robust LLM-Based Multi-Agent Coordination via Blockchain. In Proceedings of the ACM Turing Award Celebration Conference-China 2024 . 187–192
Bei Chen, Gaolei Li, Xi Lin, Zheng Wang, and Jianhua Li. 2024a · 2024
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Struq: Defending against prompt injection with structured queries
Sizhe Chen, Julien Piet, Chawin Sitawarin, and David Wagner. 2024b · 2024
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Pandora: Detailed llm jailbreaking via collaborated phishing agents with decomposed reasoning. In ICLR 2024 Workshop on Secure and Trustworthy Large Language Models
Zhaorun Chen, Zhuokai Zhao, Wenjie Qu, Zichen Wen, Zhiguang Han, Zhihong Zhu, Jiaheng Zhang, and Huaxiu Yao. 2024c · 2024
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Security Attacks on LLM-based Code Completion Tools
Wen Cheng, Ke Sun, Xinyu Zhang, and Wei Wang. 2024b · 2024
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Leveraging the context through multi-round interactions for jailbreaking attacks
Yixin Cheng, Markos Georgopoulos, Volkan Cevher, and Grigorios G Chrysos. 2024a · 2024
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Combating adversarial attacks with multi-agent debate
Steffi Chern, Zhen Fan, and Andy Liu. 2024 · 2024
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Sukmin Cho, Soyeong Jeong, Jeongyeon Seo, Taeho Hwang, and Jong C Park. 2024 · 2024
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AI-and LLM-driven search tools: A paradigm shift in information access for education and research
Gobinda Chowdhury and Sudatta Chowdhury. 2024 · 2024
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Agentdojo: A dynamic environment to evaluate attacks and defenses for llm agents
Edoardo Debenedetti, Jie Zhang, Mislav Balunović, Luca Beurer-Kellner, Marc Fischer, and Florian Tramèr. 2024 · 2024
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Ai agents under threat: A survey of key security challenges and future pathways
Zehang Deng, Yongjian Guo, Changzhou Han, Wanlun Ma, Junwu Xiong, Sheng Wen, and Yang Xiang. 2024 · 2024
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Bells: A framework towards future proof benchmarks for the evaluation of llm safeguards
Diego Dorn, Alexandre Variengien, Charbel-RaphaÃĢl Segerie, and Vincent Corruble. 2024 · 2024
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Llm agents can autonomously hack websites
Richard Fang, Rohan Bindu, Akul Gupta, Qiusi Zhan, and Daniel Kang. 2024 · 2024
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Ivar Frisch and Mario Giulianelli. 2024 · 2024
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Imprompter: Tricking LLM Agents into Improper Tool Use
Xiaohan Fu, Shuheng Li, Zihan Wang, Yihao Liu, Rajesh K Gupta, Taylor Berg-Kirkpatrick, and Earlence Fernandes. 2024 · 2024
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Navigating the risks: A survey of security, privacy, and ethics threats in llm-based agents
Yuyou Gan, Yong Yang, Zhe Ma, Ping He, Rui Zeng, Yiming Wang, Qingming Li, Chunyi Zhou, Songze Li, Ting Wang, et al · 2024
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Aligning llm agents by learning latent preference from user edits
Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, and Dipendra Misra. 2024 · 2024
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Agent smith: A single image can jailbreak one million multimodal llm agents exponentially fast
Xiangming Gu, Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Ye Wang, Jing Jiang, and Min Lin. 2024 · 2024
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Large language model based multi-agents: A survey of progress and challenges
Taicheng Guo, Xiuying Chen, Yaqi Wang, Ruidi Chang, Shichao Pei, Nitesh V Chawla, Olaf Wiest, and Xiangliang Zhang. 2024 · 2024
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The emerged security and privacy of llm agent: A survey with case studies
Feng He, Tianqing Zhu, Dayong Ye, Bo Liu, Wanlei Zhou, and Philip S Yu. 2024 · 2024
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Trustagent: Towards safe and trustworthy llm-based agents. In Findings of the Association for Computational Linguistics: EMNLP 2024 . 10000–10016
Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, and Yongfeng Zhang. 2024 · 2024
Cited alongside, same era.
Trustllm: Trustworthiness in large language models
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, et al · 2024
Cited alongside, same era.
Enhancing Fake News Detection with Large Language Models Through Multi-agent Debates. In CCF International Conference on Natural Language Processing and Chinese Computing . Springer, 474–486
Korir Nancy Jeptoo and Chengjie Sun. 2024 · 2024
Cited alongside, same era.
Improved techniques for optimization-based jailbreaking on large language models
Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, and Min Lin. 2024 · 2024
Cited alongside, same era.
Watch out for your agents! investigating backdoor threats to llm-based agents
Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, and Xu Sun. 2024a · 2024
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Plug in the safety chip: Enforcing constraints for llm-driven robot agents. In 2024 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 14435–14442
Ziyi Yang, Shreyas S Raman, Ankit Shah, and Stefanie Tellex. 2024b · 2024
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Toolsword: Unveiling safety issues of large language models in tool learning across three stages
Junjie Ye, Sixian Li, Guanyu Li, Caishuang Huang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, and Xuanjing Huang. 2024 · 2024
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SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
Sheng Yin, Xianghe Pang, Yuanzhuo Ding, Menglan Chen, Yutong Bi, Yichen Xiong, Wenhao Huang, Zhen Xiang, Jing Shao, and Siheng Chen. 2024 · 2024
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Changyue Jiang, Xudong Pan, Geng Hong, Chenfu Bao, and Min Yang. 2024 · 2024
Cited alongside, same era.
Flooding spread of manipulated knowledge in llm-based multi-agent communities
Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, and Gongshen Liu. 2024 · 2024
Cited alongside, same era.
Refusal-trained llms are easily jailbroken as browser agents
Priyanshu Kumar, Elaine Lau, Saranya Vijayakumar, Tu Trinh, Scale Red Team, Elaine Chang, Vaughn Robinson, Sean Hendryx, Shuyan Zhou, Matt Fredrikson, et al · 2024
Cited alongside, same era.
Good Parenting is all you need–Multi-agentic LLM Hallucination Mitigation
Ted Kwartler, Matthew Berman, and Alan Aqrawi. 2024 · 2024
Cited alongside, same era.
SLM as Guardian: Pioneering AI Safety with Small Language Models
Ohjoon Kwon, Donghyeon Jeon, Nayoung Choi, Gyu-Hwung Cho, Changbong Kim, Hyunwoo Lee, Inho Kang, Sun Kim, and Taiwoo Park. 2024 · 2024
Cited alongside, same era.
Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance
Lucio La Cava and Andrea Tagarelli. 2024 · 2024
Cited alongside, same era.
Prompt infection: Llm-to-llm prompt injection within multi-agent systems
Donghyun Lee and Mo Tiwari. 2024 · 2024
Cited alongside, same era.
Llm defenses are not robust to multi-turn human jailbreaks yet
Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, and Summer Yue. 2024a · 2024
Cited alongside, same era.
Netsafe: Exploring the topological safety of multi-agent networks
Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, and Yang Wang. 2024 · 2024
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Easytool: Enhancing llm-based agents with concise tool instruction
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Ren Kan, Dongsheng Li, and Deqing Yang. 2024c · 2024
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R-judge: Benchmarking safety risk awareness for llm agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, et al · 2024
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Xiaohan Yuan, Jinfeng Li, Dongxia Wang, Yuefeng Chen, Xiaofeng Mao, Longtao Huang, Hui Xue, Wenhai Wang, Kui Ren, and Jingyi Wang. 2024b · 2024
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The good and the bad: Exploring privacy issues in retrieval-augmented generation (rag)
Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, et al · 2024
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Autodefense: Multi-agent llm defense against jailbreak attacks
Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, and Qingyun Wu. 2024a · 2024
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Injecagent: Benchmarking indirect prompt injections in tool-integrated large language model agents
Qiusi Zhan, Zhixiang Liang, Zifan Ying, and Daniel Kang. 2024 · 2024
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Breaking agents: Compromising autonomous llm agents through malfunction amplification
Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, and Yang Zhang. 2024i · 2024
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Ufo: A ui-focused agent for windows os interaction
Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, et al · 2024
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Agent security bench (asb): Formalizing and benchmarking attacks and defenses in llm-based agents
Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, and Yongfeng Zhang. 2024f · 2024
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Shuning Zhang, Lyumanshan Ye, Xin Yi, Jingyu Tang, Bo Shui, Haobin Xing, Pengfei Liu, and Hewu Li. 2024k · 2024
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A survey on the memory mechanism of large language model based agents
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen. 2024a · 2024
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Agent-SafetyBench: Evaluating the Safety of LLM Agents
Zhexin Zhang, Shiyao Cui, Yida Lu, Jingzhuo Zhou, Junxiao Yang, Hongning Wang, and Minlie Huang. 2024b · 2024
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Agent-SafetyBench: Evaluating the Safety of LLM Agents
Zhexin Zhang, Shiyao Cui, Yida Lu, Jingzhuo Zhou, Junxiao Yang, Hongning Wang, and Minlie Huang. 2024c · 2024
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Zhiping Zhang, Bingcan Guo, and Tianshi Li. 2024e · 2024
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Shieldlm: Empowering llms as aligned, customizable and explainable safety detectors
Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, et al · 2024
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Zaibin Zhang, Yongting Zhang, Lijun Li, Hongzhi Gao, Lijun Wang, Huchuan Lu, Feng Zhao, Yu Qiao, and Jing Shao. 2024l · 2024
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Attacks on third-party apis of large language models
Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, and Nicholas Donald Lane. 2024 · 2024
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Haicosystem: An ecosystem for sandboxing safety risks in human-ai interactions
Xuhui Zhou, Hyunwoo Kim, Faeze Brahman, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, et al · 2024
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Riskawarebench: Towards evaluating physical risk awareness for high-level planning of llm-based embodied agents
Zihao Zhu, Bingzhe Wu, Zhengyou Zhang, and Baoyuan Wu. 2024 · 2024
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Gptswarm: Language agents as optimizable graphs. In Forty-first International Conference on Machine Learning
Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, and Jürgen Schmidhuber. 2024 · 2024
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Poisonedrag: Knowledge corruption attacks to retrieval-augmented generation of large language models
Wei Zou, Runpeng Geng, Binghui Wang, and Jinyuan Jia. 2024 · 2024
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AgentGuard: Repurposing Agentic Orchestrator for Safety Evaluation of Tool Orchestration
Jizhou Chen and Samuel Lee Cong. 2025 · 2025
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Position: Standard Benchmarks Fail–LLM Agents Present Overlooked Risks for Financial Applications
Zichen Chen, Jiaao Chen, Jianda Chen, and Misha Sra. 2025a · 2025
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Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, and Bo Li. 2025b · 2025
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Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for LLM agents
Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, and Florian Tramèr. 2025 · 2025
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RedCode: Risky Code Execution and Generation Benchmark for Code Agents
Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, and Bo Li. 2025 · 2025
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Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob Foerster, Tomáš Gavenčiak, et al · 2025
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Red-Teaming LLM Multi-Agent Systems via Communication Attacks
Pengfei He, Yupin Lin, Shen Dong, Han Xu, Yue Xing, and Hui Liu. 2025 · 2025
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Ziyou Jiang, Mingyang Li, Guowei Yang, Junjie Wang, Yuekai Huang, Zhiyuan Chang, and Qing Wang. 2025 · 2025
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Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks
Ang Li, Yin Zhou, Vethavikashini Chithrra Raghuram, Tom Goldstein, and Micah Goldblum. 2025 · 2025
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Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, and Qingsong Wen. 2025 · 2025
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Privacylens: Evaluating privacy norm awareness of language models in action
Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, and Diyi Yang. 2025 · 2025
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G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
Shilong Wang, Guibin Zhang, Miao Yu, Guancheng Wan, Fanci Meng, Chongye Guo, Kun Wang, and Yang Wang. 2025b · 2025
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The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, et al · 2025
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Yinbo Yu, Saihao Yan, Xueyu Yin, Jing Fang, and Jiajia Liu. 2025 · 2025
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MasRouter: Learning to Route LLMs for Multi-Agent Systems
Yanwei Yue, Guibin Zhang, Boyang Liu, Guancheng Wan, Kun Wang, Dawei Cheng, and Yiyan Qi. 2025 · 2025
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EvoFlow: Evolving Diverse Agentic Workflows On The Fly
Guibin Zhang, Kaijie Chen, Guancheng Wan, Heng Chang, Hong Cheng, Kun Wang, Shuyue Hu, and Lei Bai. 2025a · 2025
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Multi-agent Architecture Search via Agentic Supernet
Guibin Zhang, Luyang Niu, Junfeng Fang, Kun Wang, Lei Bai, and Xiang Wang. 2025b · 2025
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TrustRAG: Enhancing Robustness and Trustworthiness in RAG
Huichi Zhou, Kin-Hei Lee, Zhonghao Zhan, Yue Chen, and Zhenhao Li. 2025a · 2025
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A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations
Yihe Zhou, Tao Ni, Wei-Bin Lee, and Qingchuan Zhao. 2025c · 2025
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CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
Zhenhong Zhou, Zherui Li, Jie Zhang, Yuanhe Zhang, Kun Wang, Yang Liu, and Qing Guo. 2025b · 2025
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DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
Pengyu Zhu, Zhenhong Zhou, Yuanhe Zhang, Shilinlu Yan, Kun Wang, and Sen Su. 2025 · 2025
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