Fetching the paper…
Reading the bibliography…
In recent years, Large-Language-Model-driven AI agents have exhibited unprecedented intelligence and adaptability.
Finding structure in time
Jeffrey L Elman · 1990
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
Earlier work this paper cites.
Mulval: A logic-based network security analyzer
Xinming Ou, Sudhakar Govindavajhala, Andrew W Appel, et al · 2005
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, and Pierre-Antoine Manzagol · 2008
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Software-defined networking: A comprehensive survey
Diego Kreutz, Fernando MV Ramos, Paulo Esteves Verissimo, Christian Esteve Rothenberg, Siamak Azodolmolky, and Steve Uhlig · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Earlier work this paper cites.
Poisoning network visibility in software-defined networks: New attacks and countermeasures
Sungmin Hong, Lei Xu, Haopei Wang, and Guofei Gu · 2015
Earlier work this paper cites.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
Earlier work this paper cites.
Sdn-guard: Dos attacks mitigation in sdn networks
Lobna Dridi and Mohamed Faten Zhani · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Earlier work this paper cites.
Keeping the bad guys out: Protecting and vaccinating deep learning with jpeg compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Fred Hohman, Li Chen, Michael E Kounavis, and Duen Horng Chau · 2017
Earlier work this paper cites.
Flooddefender: Protecting data and control plane resources under sdn-aimed dos attacks
Gao Shang, Peng Zhe, Xiao Bin, Hu Aiqun, and Ren Kui · 2017
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Mitigating adversarial effects through randomization
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, and Alan Yuille · 2017
Earlier work this paper cites.
Attacking the brain: Races in the { \{ SDN } \} control plane
Lei Xu, Jeff Huang, Sungmin Hong, Jialong Zhang, and Guofei Gu · 2017
Earlier work this paper cites.
Stealthy probing-based verification (spv): An active approach to defending software defined networks against topology poisoning attacks
Amir Alimohammadifar, Suryadipta Majumdar, Taous Madi, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, and Mourad Debbabi · 2018
Earlier work this paper cites.
Adversarial examples are not bugs, they are features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, and Aleksander Madry · 2019
Earlier work this paper cites.
Measuring and analyzing search engine poisoning of linguistic collisions
Matthew Joslin, Neng Li, Shuang Hao, Minhui Xue, and Haojin Zhu · 2019
Earlier work this paper cites.
Imperceptible, robust, and targeted adversarial examples for automatic speech recognition
Yao Qin, Nicholas Carlini, Garrison Cottrell, Ian Goodfellow, and Colin Raffel · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Earlier work this paper cites.
Zero trust architecture
V Stafford · 2020
Earlier work this paper cites.
Mimo radar for advanced driver-assistance systems and autonomous driving: Advantages and challenges
Shunqiao Sun, Athina P Petropulu, and H Vincent Poor · 2020
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Peer-to-peer autonomous agent communication network
Lokman Rahmani, David Minarsch, and Jonathan Ward · 2021
Earlier work this paper cites.
Vinvl: Revisiting visual representations in vision-language models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, and Jianfeng Gao · 2021
Earlier work this paper cites.
Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
Earlier work this paper cites.
Decomposed prompting: A modular approach for solving complex tasks
Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, and Ashish Sabharwal · 2022
Earlier work this paper cites.
Combination attacks and defenses on sdn topology discovery
Dezhang Kong, Yi Shen, Xiang Chen, Qiumei Cheng, Hongyan Liu, Dong Zhang, Xuan Liu, Shuangxi Chen, and Chunming Wu · 2022
Earlier work this paper cites.
Diffusion models for adversarial purification
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, and Anima Anandkumar · 2022
Earlier work this paper cites.
Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro · 2022
Earlier work this paper cites.
Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Earlier work this paper cites.
Identitydp: Differential private identification protection for face images
Yunqian Wen, Bo Liu, Ming Ding, Rong Xie, and Li Song · 2022
Earlier work this paper cites.
Disrupting the sdn control channel via shared links: Attacks and countermeasures
Renjie Xie, Jiahao Cao, Qi Li, Kun Sun, Guofei Gu, Mingwei Xu, and Yuan Yang · 2022
Earlier work this paper cites.
Wordcraft: story writing with large language models
Ann Yuan, Andy Coenen, Emily Reif, and Daphne Ippolito · 2022
Earlier work this paper cites.
Learning to prompt for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
Earlier work this paper cites.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
Earlier work this paper cites.
On the (in) security of the control plane of sdn architecture: A survey
Zaheed Ahmed Bhuiyan, Salekul Islam, Md Motaharul Islam, ABM Ahasan Ullah, Farha Naz, and Mohammad Shahriar Rahman · 2023
Earlier work this paper cites.
Autonomous chemical research with large language models
Daniil A Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes · 2023
Earlier work this paper cites.
Jailbreaking black box large language models in twenty queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong · 2023
Earlier work this paper cites.
Unleashing the potential of prompt engineering in large language models: a comprehensive review
Banghao Chen, Zhaofeng Zhang, Nicolas Langrené, and Shengxin Zhu · 2023
Earlier work this paper cites.
Personalized learning through artificial intelligence: Revolutionizing education
Emmanuel Dumbuya · 2023
Earlier work this paper cites.
Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices
Sabit Ekin · 2023
Earlier work this paper cites.
Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yixin Dai, Jiawei Sun, Haofen Wang, and Haofen Wang · 2023
Earlier work this paper cites.
Prompt engineering with chatgpt: a guide for academic writers
Louie Giray · 2023
Earlier work this paper cites.
Tora: A tool-integrated reasoning agent for mathematical problem solving
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, and Weizhu Chen · 2023
Earlier work this paper cites.
Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, and Mario Fritz · 2023
Earlier work this paper cites.
Memory matters: The need to improve long-term memory in llm-agents
Kostas Hatalis, Despina Christou, Joshua Myers, Steven Jones, Keith Lambert, Adam Amos-Binks, Zohreh Dannenhauer, and Dustin Dannenhauer · 2023
Earlier work this paper cites.
Tree-planner: Efficient close-loop task planning with large language models
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, and Ping Luo · 2023
Earlier work this paper cites.
Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models
Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, and Roy Ka-Wei Lee · 2023
Earlier work this paper cites.
Agentcoder: Multi-agent-based code generation with iterative testing and optimisation
Dong Huang, Jie M Zhang, Michael Luck, Qingwen Bu, Yuhao Qing, and Heming Cui · 2023
Earlier work this paper cites.
Llama guard: Llm-based input-output safeguard for human-ai conversations
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, et al · 2023
Earlier work this paper cites.
Baseline defenses for adversarial attacks against aligned language models
Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, and Tom Goldstein · 2023
Earlier work this paper cites.
Econagent: large language model-empowered agents for simulating macroeconomic activities
Nian Li, Chen Gao, Mingyu Li, Yong Li, and Qingmin Liao · 2023
Earlier work this paper cites.
Evaluating object hallucination in large vision-language models
Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, and Ji-Rong Wen · 2023
Earlier work this paper cites.
Unveiling the pitfalls of knowledge editing for large language models
Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, and Huajun Chen · 2023
Earlier work this paper cites.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2023
Earlier work this paper cites.
Autodan: Generating stealthy jailbreak prompts on aligned large language models
Xiaogeng Liu, Nan Xu, Muhao Chen, and Chaowei Xiao · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
Jailbreaking chatgpt via prompt engineering: An empirical study
Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, and Yang Liu · 2023
Earlier work this paper cites.
A language agent for autonomous driving
Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, and Yue Wang · 2023
Earlier work this paper cites.
Prompt engineering as an important emerging skill for medical professionals: tutorial
Bertalan Meskó · 2023
Earlier work this paper cites.
Towards making the most of chatgpt for machine translation
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, and Dacheng Tao · 2023
Earlier work this paper cites.
Is chatgpt a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang · 2023
Earlier work this paper cites.
Supporting human-ai collaboration in auditing llms with llms
Charvi Rastogi, Marco Tulio Ribeiro, Nicholas King, Harsha Nori, and Saleema Amershi · 2023
Earlier work this paper cites.
Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models
Erfan Shayegani, Yue Dong, and Nael Abu-Ghazaleh · 2023
Earlier work this paper cites.
Ltrft: Mitigate the low-rate data plane ddos attack with learning-to-rank enabled flow tables
Dan Tang, Yudong Yan, Chenjun Gao, Wei Liang, and Wenqiang Jin · 2023
Earlier work this paper cites.
Can large language models really improve by self-critiquing their own plans?
Karthik Valmeekam, Matthew Marquez, and Subbarao Kambhampati · 2023
Earlier work this paper cites.
Easyedit: An easy-to-use knowledge editing framework for large language models
Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, et al · 2023
Earlier work this paper cites.
A prompt pattern catalog to enhance prompt engineering with chatgpt
Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C Schmidt · 2023
Earlier work this paper cites.
Editing large language models: Problems, methods, and opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, and Ningyu Zhang · 2023
Earlier work this paper cites.
Ecoassistant: Using llm assistant more affordably and accurately
Jieyu Zhang, Ranjay Krishna, Ahmed H Awadallah, and Chi Wang · 2023
Earlier work this paper cites.
Planning with large language models for code generation
Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B Tenenbaum, and Chuang Gan · 2023
Earlier work this paper cites.
Siren’s song in the ai ocean: a survey on hallucination in large language models
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, et al · 2023
Earlier work this paper cites.
Large language models as commonsense knowledge for large-scale task planning
Zirui Zhao, Wee Sun Lee, and David Hsu · 2023
Earlier work this paper cites.
Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, and Dacheng Tao · 2023
Earlier work this paper cites.
Poisoning retrieval corpora by injecting adversarial passages, 2023
Zexuan Zhong, Ziqing Huang, Alexander Wettig, and Danqi Chen · 2023
Earlier work this paper cites.
Minigpt-4: Enhancing vision-language understanding with advanced large language models
Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
Earlier work this paper cites.
Auditllm: a tool for auditing large language models using multiprobe approach
Maryam Amirizaniani, Elias Martin, Tanya Roosta, Aman Chadha, and Chirag Shah · 2024
Earlier work this paper cites.
Many-shot jailbreaking
Cem Anil, Esin Durmus, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Nina Rimsky, Meg Tong, Jesse Mu, Daniel Ford, et al · 2024
Earlier work this paper cites.
Filesystem mcp server
Anthropic · 2024
Earlier work this paper cites.
Phantom: General trigger attacks on retrieval augmented language generation
Harsh Chaudhari, Giorgio Severi, John Abascal, Matthew Jagielski, Christopher A Choquette-Choo, Milad Nasr, Cristina Nita-Rotaru, and Alina Oprea · 2024
Earlier work this paper cites.
Cod, towards an interpretable medical agent using chain of diagnosis
Junying Chen, Chi Gui, Anningzhe Gao, Ke Ji, Xidong Wang, Xiang Wan, and Benyou Wang · 2024
Earlier work this paper cites.
Scalable multi-robot collaboration with large language models: Centralized or decentralized systems?
Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, and Chuchu Fan · 2024
Earlier work this paper cites.
Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, and Bo Li · 2024
Earlier work this paper cites.
Black-box opinion manipulation attacks to retrieval-augmented generation of large language models, 2024
Zhuo Chen, Jiawei Liu, Haotan Liu, Qikai Cheng, Fan Zhang, Wei Lu, and Xiaozhong Liu · 2024
Earlier work this paper cites.
Compressed chain of thought: Efficient reasoning through dense representations
Jeffrey Cheng and Benjamin Van Durme · 2024
Earlier work this paper cites.
Yuan Chiang, Elvis Hsieh, Chia-Hong Chou, and Janosh Riebesell · 2024
Earlier work this paper cites.
Cody Clop and Yannick Teglia · 2024
Earlier work this paper cites.
Here comes the ai worm: Unleashing zero-click worms that target genai-powered applications
Stav Cohen, Ron Bitton, and Ben Nassi · 2024
Earlier work this paper cites.
Masterkey: Automated jailbreaking of large language model chatbots
Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu · 2024
Earlier work this paper cites.
Pandora: Jailbreak gpts by retrieval augmented generation poisoning
Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, and Yang Liu · 2024
Earlier work this paper cites.
Flow-dpo: Improving llm mathematical reasoning through online multi-agent learning
Yihe Deng and Paul Mineiro · 2024
Earlier work this paper cites.
Gaide: A framework for using generative ai to assist in course content development
Ethan Dickey and Andres Bejarano · 2024
Earlier work this paper cites.
A wolf in sheep’s clothing: Generalized nested jailbreak prompts can fool large language models easily, 2024
Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, and Shujian Huang · 2024
Earlier work this paper cites.
Aligning llm agents by learning latent preference from user edits
Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, and Dipendra Misra · 2024
Earlier work this paper cites.
Memory sharing for large language model based agents
Hang Gao and Yongfeng Zhang · 2024
Earlier work this paper cites.
Denial-of-service poisoning attacks against large language models
Kuofeng Gao, Tianyu Pang, Chao Du, Yong Yang, Shu-Tao Xia, and Min Lin · 2024
Earlier work this paper cites.
Transferable adversarial attacks against asr
Xiaoxue Gao, Zexin Li, Yiming Chen, Cong Liu, and Haizhou Li · 2024
Earlier work this paper cites.
Detecting and preventing hallucinations in large vision language models
Anisha Gunjal, Jihan Yin, and Erhan Bas · 2024
Earlier work this paper cites.
Enhancing investment analysis: Optimizing ai-agent collaboration in financial research
Xuewen Han, Neng Wang, Shangkun Che, Hongyang Yang, Kunpeng Zhang, and Sean Xin Xu · 2024
Earlier work this paper cites.
Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, and Yujun Cai · 2024
Earlier work this paper cites.
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
Earlier work this paper cites.
On the resilience of multi-agent systems with malicious agents
Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, and Michael R Lyu · 2024
Earlier work this paper cites.
Ai-powered legal documentation assistant
P Vimala Imogen 1 , J Sreenidhi, and V Nivedha · 2024
Earlier work this paper cites.
Drugagent: Explainable drug repurposing agent with large language model-based reasoning
Yoshitaka Inoue, Tianci Song, and Tianfan Fu · 2024
Earlier work this paper cites.
Yoichi Ishibashi and Yoshimasa Nishimura · 2024
Earlier work this paper cites.
Advancing agentic systems: Dynamic task decomposition, tool integration and evaluation using novel metrics and dataset
Shankar Kumar Jeyakumar, Alaa Alameer Ahmad, and Adrian Garret Gabriel · 2024
Earlier work this paper cites.
Changyue Jiang, Xudong Pan, Geng Hong, Chenfu Bao, and Min Yang · 2024
Earlier work this paper cites.
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
Earlier work this paper cites.
Advwave: Stealthy adversarial jailbreak attack against large audio-language models
Mintong Kang, Chejian Xu, and Bo Li · 2024
Earlier work this paper cites.
Smart-llm: Smart multi-agent robot task planning using large language models
Shyam Sundar Kannan, Vishnunandan LN Venkatesh, and Byung-Cheol Min · 2024
Earlier work this paper cites.
Rdefender: A lightweight and robust defense against flow table overflow attacks in sdn
Dezhang Kong, Xiang Chen, Chunming Wu, Yi Shen, Zhengyan Zhou, Qiumei Cheng, Xuan Liu, Mingliang Yang, Yubing Qiu, Dong Zhang, et al · 2024
Earlier work this paper cites.
What matters when building vision-language models?
Hugo Laurençon, Léo Tronchon, Matthieu Cord, and Victor Sanh · 2024
Earlier work this paper cites.
Search engine optimization poisoning: A cybersecurity threat analysis and mitigation strategies for small and medium-sized enterprises
Tran Duc Le, Thang Le-Dinh, and Sylvestre Uwizeyemungu · 2024
Earlier work this paper cites.
Prompt infection: Llm-to-llm prompt injection within multi-agent systems
Donghyun Lee and Mo Tiwari · 2024
Earlier work this paper cites.
Macm: Utilizing a multi-agent system for condition mining in solving complex mathematical problems
Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, and Caiwen Ding · 2024
Cited alongside, same era.
Rongchang Li, Minjie Chen, Chang Hu, Han Chen, Wenpeng Xing, and Meng Han · 2024
Cited alongside, same era.
Xinzhe Li · 2024
Cited alongside, same era.
Deepinception: Hypnotize large language model to be jailbreaker
Xuan Li, Zhanke Zhou, Jianing Zhu, Jiangchao Yao, Tongliang Liu, and Bo Han · 2024
Cited alongside, same era.
Personal llm agents: Insights and survey about the capability, efficiency and security
Peerguard: Defending multi-agent systems against backdoor attacks through mutual reasoning
Falong Fan and Xi Li · 2025
Closest in time.
We should identify and mitigate third-party safety risks in mcp-powered agent systems
Junfeng Fang, Zijun Yao, Ruipeng Wang, Haokai Ma, Xiang Wang, and Tat-Seng Chua · 2025
Closest in time.
Marketsenseai 2.0: Enhancing stock analysis through llm agents
George Fatouros, Kostas Metaxas, John Soldatos, and Manos Karathanassis · 2025
Closest in time.
Mˆ 3builder: A multi-agent system for automated machine learning in medical imaging
Jinghao Feng, Qiaoyu Zheng, Chaoyi Wu, Ziheng Zhao, Ya Zhang, Yanfeng Wang, and Weidi Xie · 2025
Closest in time.
From llm reasoning to autonomous ai agents: A comprehensive review
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Yuanchun Li, Hao Wen, Weijun Wang, Xiangyu Li, Yizhen Yuan, Guohong Liu, Jiacheng Liu, Wenxing Xu, Xiang Wang, Yi Sun, et al · 2024
Cited alongside, same era.
Eia: Environmental injection attack on generalist web agents for privacy leakage
Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, and Huan Sun · 2024
Cited alongside, same era.
Figure it out: Analyzing-based jailbreak attack on large language models
Shi Lin, Rongchang Li, Xun Wang, Changting Lin, Wenpeng Xing, and Meng Han · 2024
Cited alongside, same era.
Data-efficient fine-tuning for llm-based recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, and Tat-Seng Chua · 2024
Cited alongside, same era.
Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al · 2024
Cited alongside, same era.
Toward a team of ai-made scientists for scientific discovery from gene expression data
Haoyang Liu, Yijiang Li, Jinglin Jian, Yuxuan Cheng, Jianrong Lu, Shuyi Guo, Jinglei Zhu, Mianchen Zhang, Miantong Zhang, and Haohan Wang · 2024
Cited alongside, same era.
Making them ask and answer: Jailbreaking large language models in few queries via disguise and reconstruction
Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, and Kai Chen · 2024
Cited alongside, same era.
Automatic and universal prompt injection attacks against large language models
Xiaogeng Liu, Zhiyuan Yu, Yizhe Zhang, Ning Zhang, and Chaowei Xiao · 2024
Cited alongside, same era.
Mohamed Amine Ferrag, Norbert Tihanyi, and Merouane Debbah · 2025
Closest in time.
Lmos: Large model operating system
Eclipse Foundation · 2025
Closest in time.
Atag: Ai-agent application threat assessment with attack graphs
Parth Atulbhai Gandhi, Akansha Shukla, David Tayouri, Beni Ifland, Yuval Elovici, Rami Puzis, and Asaf Shabtai · 2025
Closest in time.
An efficient context-dependent memory framework for llm-centric agents
Pengyu Gao, Jinming Zhao, Xinyue Chen, and Long Yilin · 2025
Closest in time.
Figstep: Jailbreaking large vision-language models via typographic visual prompts
Yichen Gong, Delong Ran, Jinyuan Liu, Conglei Wang, Tianshuo Cong, Anyu Wang, Sisi Duan, and Xiaoyun Wang · 2025
Closest in time.
Gmail mcp server
GongRzhe · 2025
Closest in time.
Terminal controller for mcp
GongRzhe · 2025
Closest in time.
Agent2agent protocol
Google · 2025
Closest in time.
Leaky thoughts: Large reasoning models are not private thinkers
Tommaso Green, Martin Gubri, Haritz Puerto, Sangdoo Yun, and Seong Joon Oh · 2025
Closest in time.
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al · 2025
Closest in time.
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
Closest in time.
Mcp toolbox for databases: Simplify ai agent access to enterprise data
Buvaraghan Hamsa and Egan Derek · 2025
Closest in time.
Shijie Han, Changhai Zhou, Yiqing Shen, Tianning Sun, Yuhua Zhou, Xiaoxia Wang, Zhixiao Yang, Jingshu Zhang, and Hongguang Li · 2025
Closest in time.
Drift: Dynamic rule-based defense with injection isolation for securing llm agents
Li Hao and other · 2025
Closest in time.
Mohammed Mehedi Hasan, Hao Li, Emad Fallahzadeh, Bram Adams, and Ahmed E Hassan · 2025
Closest in time.
Attention knows whom to trust: Attention-based trust management for llm multi-agent systems
Pengfei He, Zhenwei Dai, Xianfeng Tang, Yue Xing, Hui Liu, Jingying Zeng, Qiankun Peng, Shrivats Agrawal, Samarth Varshney, Suhang Wang, et al · 2025
Closest in time.
Red-teaming llm multi-agent systems via communication attacks
Pengfei He, Yupin Lin, Shen Dong, Han Xu, Yue Xing, and Hui Liu · 2025
Closest in time.
Pasa: An llm agent for comprehensive academic paper search
Yichen He, Guanhua Huang, Peiyuan Feng, Yuan Lin, Yuchen Zhang, Hang Li, et al · 2025
Closest in time.
Security of ai agents
Yifeng He, Ethan Wang, Yuyang Rong, Zifei Cheng, and Hao Chen · 2025
Closest in time.
Model context protocol (mcp): Landscape, security threats, and future research directions
Xinyi Hou, Yanjie Zhao, Shenao Wang, and Haoyu Wang · 2025
Closest in time.
Halo: Hierarchical autonomous logic-oriented orchestration for multi-agent llm systems
Zhipeng Hou, Junyi Tang, and Yipeng Wang · 2025
Closest in time.
An llm-based agent for reliable docker environment configuration
Ruida Hu, Chao Peng, Xinchen Wang, and Cuiyun Gao · 2025
Closest in time.
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al · 2025
Closest in time.
Introduction to agent communication protocol (acp)
IBM · 2025
Closest in time.
R2e-gym: Procedural environments and hybrid verifiers for scaling open-weights swe agents
Naman Jain, Jaskirat Singh, Manish Shetty, Liang Zheng, Koushik Sen, and Ion Stoica · 2025
Closest in time.
Think twice before you act: Enhancing agent behavioral safety with thought correction
Changyue Jiang, Xudong Pan, and Min Yang · 2025
Closest in time.
Mcip: Protecting mcp safety via model contextual integrity protocol
Huihao Jing, Haoran Li, Wenbin Hu, Qi Hu, Heli Xu, Tianshu Chu, Peizhao Hu, and Yangqiu Song · 2025
Closest in time.
Scalable auditing for ai safety
Erik Jones · 2025
Closest in time.
C3ot: Generating shorter chain-of-thought without compromising effectiveness
Yu Kang, Xianghui Sun, Liangyu Chen, and Wei Zou · 2025
Closest in time.
Agents under siege: Breaking pragmatic multi-agent llm systems with optimized prompt attacks
Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Flemming, and Tianlong Chen · 2025
Closest in time.
Gatelens: A reasoning-enhanced llm agent for automotive software release analytics
Arsham Gholamzadeh Khoee, Shuai Wang, Yinan Yu, Robert Feldt, and Dhasarathy Parthasarathy · 2025
Closest in time.
Prompt flow integrity to prevent privilege escalation in llm agents
Juhee Kim, Woohyuk Choi, and Byoungyoung Lee · 2025
Closest in time.
Seven security challenges that must be solved in cross-domain multi-agent llm systems
Ronny Ko, Jiseong Jeong, Shuyuan Zheng, Chuan Xiao, Taewan Kim, Makoto Onizuka, and Wonyong Shin · 2025
Closest in time.
Naveen Krishnan · 2025
Closest in time.
Overthinking: Slowdown attacks on reasoning llms
Abhinav Kumar, Jaechul Roh, Ali Naseh, Marzena Karpinska, Mohit Iyyer, Amir Houmansadr, and Eugene Bagdasarian · 2025
Closest in time.
Mcp guardian: A security-first layer for safeguarding mcp-based ai system
Sonu Kumar, Anubhav Girdhar, Ritesh Patil, and Divyansh Tripathi · 2025
Closest in time.
Shrinidhi Kumbhar, Venkatesh Mishra, Kevin Coutinho, Divij Handa, Ashif Iquebal, and Chitta Baral · 2025
Closest in time.
Introducing mcp-scan: Protecting mcp with invariant
Invariant Labs · 2025
Closest in time.
Agent protocol
LangChain · 2025
Closest in time.
Tool calling
LangChain · 2025
Closest in time.
Jingoo Lee, Kyungho Lim, Young-Chul Jung, and Byung-Hoon Kim · 2025
Closest in time.
Atlassian tools & google a2a protocol: Revolutionizing ai agent interoperability
Ash Lei · 2025
Closest in time.
Mind the agent: A comprehensive survey on large language model-based agent safety
Gaotang Li, Ting-Wei Li, and Xuying Ning · 2025
Closest in time.
Qiaomu Li and Ying Xie · 2025
Closest in time.
Exploring the security threats of knowledge base poisoning in retrieval-augmented code generation
Bo Lin, Shangwen Wang, Liqian Chen, and Xiaoguang Mao · 2025
Closest in time.
Provguard: Detecting sdn control policy manipulation via contextual semantics of provenance graphs
Ziwen Liu, Jian Mao, Jun Zeng, Jiawei Li, Qixiao Lin, Jiahao Liu, Jianwei Zhuge, and Zhenkai Liang · 2025
Closest in time.
Uxagent: An llm agent-based usability testing framework for web design
Yuxuan Lu, Bingsheng Yao, Hansu Gu, Jing Huang, Jessie Wang, Yang Li, Jiri Gesi, Qi He, Toby Jia-Jun Li, and Dakuo Wang · 2025
Closest in time.
You can’t eat your cake and have it too: The performance degradation of llms with jailbreak defense
Wuyuao Mai, Geng Hong, Pei Chen, Xudong Pan, Baojun Liu, Yuan Zhang, Haixin Duan, and Min Yang · 2025
Closest in time.
Junyuan Mao, Fanci Meng, Yifan Duan, Miao Yu, Xiaojun Jia, Junfeng Fang, Yuxuan Liang, Kun Wang, and Qingsong Wen · 2025
Closest in time.
Integrating semantic kernel python with google’s a2a protocol
Evan Mattson · 2025
Closest in time.
Optimizing npc behavior in video games using unity ml-agents: A reinforcement learning-based approach
Sudhanshu Maurya, Arnav Kotiyal, Pankaj Prusty, Nilesh Shelke, Abhishek Bhattacherjee, and Tiyas Sarkar · 2025
Closest in time.
Agentic ai needs a systems theory
Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R Varshney, Matthew Riemer, Djallel Bouneffouf, John T Richards, Amit Dhurandhar, Elizabeth M Daly, Michael Hind, Prasanna Sattigeri, et al · 2025
Closest in time.
Securing genai multi-agent systems against tool squatting: A zero trust registry-based approach
Vineeth Sai Narajala, Ken Huang, and Idan Habler · 2025
Closest in time.
Governance in agentic workflows: Leveraging llms as oversight agents
Imran Nasim · 2025
Closest in time.
Poison-rag: Adversarial data poisoning attacks on retrieval-augmented generation in recommender systems
Fatemeh Nazary, Yashar Deldjoo, and Tommaso di Noia · 2025
Closest in time.
Large language models explained
Nvidia · 2025
Closest in time.
Agentic ai systems applied to tasks in financial services: Modeling and model risk management crews
Izunna Okpala, Ashkan Golgoon, and Arjun Ravi Kannan · 2025
Closest in time.
Function calling and other api updates
OpenAI · 2025
Closest in time.
Openai agent sdk supports mcp
OpenAI · 2025
Closest in time.
Assessing and enhancing the robustness of llm-based multi-agent systems through chaos engineering
Joshua Owotogbe · 2025
Closest in time.
Ag-ui: Enabling user-facing ai agents through a lightweight event-based protocol for backend-frontend integration
Paul Pajo · 2025
Closest in time.
Why do multiagent systems fail?
Melissa Z Pan, Mert Cemri, Lakshya A Agrawal, Shuyi Yang, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya Parameswaran, Kannan Ramchandran, Dan Klein, et al · 2025
Closest in time.
Asleep at the keyboard? assessing the security of github copilot’s code contributions
Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri · 2025
Closest in time.
Mcp safety audit: Llms with the model context protocol allow major security exploits
Brandon Radosevich and John Halloran · 2025
Closest in time.
Loka protocol: A decentralized framework for trustworthy and ethical ai agent ecosystems
Rajesh Ranjan, Shailja Gupta, and Surya Narayan Singh · 2025
Closest in time.
A review on agent-to-agent protocol: Concept, state-of-the-art, challenges and future directions
Partha Pratim Ray · 2025
Closest in time.
Ai agents market size & trends
Grand View Research · 2025
Closest in time.
mcp-shield
riseandignite · 2025
Closest in time.
Multilingual and multi-accent jailbreaking of audio llms
Jaechul Roh, Virat Shejwalkar, and Amir Houmansadr · 2025
Closest in time.
Meddxagent: A unified modular agent framework for explainable automatic differential diagnosis
Daniel Rose, Chia-Chien Hung, Marco Lepri, Israa Alqassem, Kiril Gashteovski, and Carolin Lawrence · 2025
Closest in time.
Survey of llm agent communication with mcp: A software design pattern centric review
Anjana Sarkar and Soumyendu Sarkar · 2025
Closest in time.
Engineering the agentic future: Paypal’s mcp & a2a design patterns for the new digital economy
Robert Schwentker · 2025
Closest in time.
Enforcing cybersecurity constraints for llm-driven robot agents for online transactions
Shraddha Pradipbhai Shah and Aditya Vilas Deshpande · 2025
Closest in time.
Prompt injection attack to tool selection in llm agents
Jiawen Shi, Zenghui Yuan, Guiyao Tie, Pan Zhou, Neil Zhenqiang Gong, and Lichao Sun · 2025
Closest in time.
A survey of the model context protocol (mcp): Standardizing context to enhance large language models (llms)
Aditi Singh, Abul Ehtesham, Saket Kumar, and Tala Talaei Khoei · 2025
Closest in time.
Shivam Singh, Karthik Swaminathan, Nabanita Dash, Ramandeep Singh, Snehasis Banerjee, Mohan Sridharan, and Madhava Krishna · 2025
Closest in time.
Beyond the protocol: Unveiling attack vectors in the model context protocol ecosystem
Hao Song, Yiming Shen, Wenxuan Luo, Leixin Guo, Ting Chen, Jiashui Wang, Beibei Li, Xiaosong Zhang, and Jiachi Chen · 2025
Closest in time.
Llm-driven npcs: Cross-platform dialogue system for games and social platforms
Li Song · 2025
Closest in time.
Saga: A security architecture for governing ai agentic systems
Georgios Syros, Anshuman Suri, Cristina Nita-Rotaru, and Alina Oprea · 2025
Closest in time.
Enforcement agents: Enhancing accountability and resilience in multi-agent ai frameworks
Sagar Tamang and Dibya Jyoti Bora · 2025
Closest in time.
Agent network protocol (anp)
ANP Team · 2025
Closest in time.
Claude statistics: How many people use claude?
Backlinko Team · 2025
Closest in time.
Deep dive: Mcp and a2a attack vectors for ai agents
Solo.io Engineering Team · 2025
Closest in time.
Tencent cloud cos mcp server
Tencent · 2025
Closest in time.
Generative ai systems in legal practice offering quality legal services while upholding legal ethics
Kalliopi Terzidou · 2025
Closest in time.
Khe-Han Toh and Hong-Kuan Teo · 2025
Closest in time.
Multi-agent systems execute arbitrary malicious code
Harold Triedman, Rishi Jha, and Vitaly Shmatikov · 2025
Closest in time.
Unveiling privacy risks in llm agent memory
Bo Wang, Weiyi He, Pengfei He, Shenglai Zeng, Zhen Xiang, Yue Xing, and Jiliang Tang · 2025
Closest in time.
Agentspec: Customizable runtime enforcement for safe and reliable llm agents
Haoyu Wang, Christopher M Poskitt, and Jun Sun · 2025
Closest in time.
Jian Wang, Yinpei Dai, Yichi Zhang, Ziqiao Ma, Wenjie Li, and Joyce Chai · 2025
Closest in time.
A comprehensive survey in llm (-agent) full stack safety: Data, training and deployment
Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, et al · 2025
Closest in time.
Ip leakage attacks targeting llm-based multi-agent systems
Liwen Wang, Wenxuan Wang, Shuai Wang, Zongjie Li, Zhenlan Ji, Zongyi Lyu, Daoyuan Wu, and Shing-Chi Cheung · 2025
Closest in time.
Recursively summarizing enables long-term dialogue memory in large language models
Qingyue Wang, Yanhe Fu, Yanan Cao, Shuai Wang, Zhiliang Tian, and Liang Ding · 2025
Closest in time.
Ma-lot: Multi-agent lean-based long chain-of-thought reasoning enhances formal theorem proving
Ruida Wang, Rui Pan, Yuxin Li, Jipeng Zhang, Yizhen Jia, Shizhe Diao, Renjie Pi, Junjie Hu, and Tong Zhang · 2025
Closest in time.
Tdag: A multi-agent framework based on dynamic task decomposition and agent generation
Yaoxiang Wang, Zhiyong Wu, Junfeng Yao, and Jinsong Su · 2025
Closest in time.
Pig: Privacy jailbreak attack on llms via gradient-based iterative in-context optimization
Yidan Wang, Yanan Cao, Yubing Ren, Fang Fang, Zheng Lin, and Binxing Fang · 2025
Closest in time.
Internet of agents: Fundamentals, applications, and challenges
Yuntao Wang, Shaolong Guo, Yanghe Pan, Zhou Su, Fahao Chen, Tom H Luan, Peng Li, Jiawen Kang, and Dusit Niyato · 2025
Closest in time.
Security of internet of agents: Attacks and countermeasures
Yuntao Wang, Yanghe Pan, Shaolong Guo, and Zhou Su · 2025
Closest in time.
Large model based agents: State-of-the-art, cooperation paradigms, security and privacy, and future trends
Yuntao Wang, Yanghe Pan, Zhou Su, Yi Deng, Quan Zhao, Linkang Du, Tom H Luan, Jiawen Kang, and Dusit Niyato · 2025
Closest in time.
Medagent-pro: Towards multi-modal evidence-based medical diagnosis via reasoning agentic workflow
Ziyue Wang, Junde Wu, Chang Han Low, and Yueming Jin · 2025
Closest in time.
agents.json specification
WildCardAI · 2025
Closest in time.
Beyond self-talk: A communication-centric survey of llm-based multi-agent systems
Bingyu Yan, Xiaoming Zhang, Litian Zhang, Lian Zhang, Ziyi Zhou, Dezhuang Miao, and Chaozhuo Li · 2025
Closest in time.
A survey of ai agent protocols
Yingxuan Yang, Huacan Chai, Yuanyi Song, Siyuan Qi, Muning Wen, Ning Li, Junwei Liao, Haoyi Hu, Jianghao Lin, Gaowei Chang, et al · 2025
Closest in time.
Twinmarket: A scalable behavioral and socialsimulation for financial markets
Yuzhe Yang, Yifei Zhang, Minghao Wu, Kaidi Zhang, Yunmiao Zhang, Honghai Yu, Yan Hu, and Benyou Wang · 2025
Closest in time.
Distraction is all you need for multimodal large language model jailbreaking
Zuopeng Yang, Jiluan Fan, Anli Yan, Erdun Gao, Xin Lin, Tao Li, Kanghua Mo, and Changyu Dong · 2025
Closest in time.
Exploring radar data representations in autonomous driving: A comprehensive review
Shanliang Yao, Runwei Guan, Zitian Peng, Chenhang Xu, Yilu Shi, Weiping Ding, Eng Gee Lim, Yong Yue, Hyungjoon Seo, Ka Lok Man, et al · 2025
Closest in time.
A survey on trustworthy llm agents: Threats and countermeasures
Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, et al · 2025
Closest in time.
Table-critic: A multi-agent framework for collaborative criticism and refinement in table reasoning
Peiying Yu, Guoxin Chen, and Jingjing Wang · 2025
Closest in time.
Shieldgemma 2: Robust and tractable image content moderation
Wenjun Zeng et al · 2025
Closest in time.
G-memory: Tracing hierarchical memory for multi-agent systems
Guibin Zhang, Muxin Fu, Guancheng Wan, Miao Yu, Kun Wang, and Shuicheng Yan · 2025
Closest in time.
Lightthinker: Thinking step-by-step compression
Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, and Ningyu Zhang · 2025
Closest in time.
Llm agents should employ security principles
Kaiyuan Zhang, Zian Su, Pin-Yu Chen, Elisa Bertino, Xiangyu Zhang, and Ninghui Li · 2025
Closest in time.
Demonstrations of integrity attacks in multi-agent systems
Can Zheng, Yuhan Cao, Xiaoning Dong, and Tianxing He · 2025
Closest in time.
Trustrag: Enhancing robustness and trustworthiness in rag
Huichi Zhou, Kin-Hei Lee, Zhonghao Zhan, Yue Chen, and Zhenhao Li · 2025
Closest in time.
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 · 2025
Closest in time.
Accelerating chain-of-thought reasoning: When goal-gradient importance meets dynamic skipping
Ren Zhuang, Ben Wang, and Shuifa Sun · 2025
Closest in time.