2,529+ academic papers on AI security, attacks, and defenses
Showing 201–220 of 272 papers
Clear filtersShaona Ghosh, Barnaby Simkin, Kyriacos Shiarlis +9 more
This paper introduces a dynamic and actionable framework for securing agentic AI systems in enterprise deployment. We contend that safety and...
Trung Cuong Dang, David Mohaisen
Large language models, trained on massive corpora, are prone to verbatim memorization of training data, creating significant privacy and copyright...
Xiaoqing Wang, Keman Huang, Bin Liang +2 more
The rapid advancement of Large Language Model (LLM)-driven multi-agent systems has significantly streamlined software developing tasks, enabling...
Xiangrui Zhang, Zeyu Chen, Haining Wang +1 more
Large Language Models (LLMs) and their agent systems have recently demonstrated strong potential in automating code reasoning and vulnerability...
Qingsong He, Jing Nan, Jiayu Jiao +5 more
Large Language Models can break through knowledge and timeliness limitations by invoking external tools within the Model Context Protocol framework...
Adela Bara, Simona-Vasilica Oprea
Our paper introduces a generative, multiagent AI framework designed to overcome the rigidity, limited flexibility and technical barriers of current...
Bui Duc Son, Trinh Van Chien, Dong In Kim
The integration of generative artificial intelligence (GenAI) into 6G networks promises substantial performance gains while simultaneously exposing...
Badhan Chandra Das, Md Tasnim Jawad, Md Jueal Mia +2 more
Large Vision Language Models (LVLMs) demonstrate strong capabilities in multimodal reasoning and many real-world applications, such as visual...
Siyang Cheng, Gaotian Liu, Rui Mei +7 more
The rapid adoption of large language models (LLMs) has brought both transformative applications and new security risks, including jailbreak attacks...
Samuel Nathanson, Alexander Lee, Catherine Chen Kieffer +7 more
Assurance for artificial intelligence (AI) systems remains fragmented across software supply-chain security, adversarial machine learning, and...
Rathin Chandra Shit, Sharmila Subudhi
The security of autonomous vehicle networks is facing major challenges, owing to the complexity of sensor integration, real-time performance demands,...
Dennis Wei, Ronny Luss, Xiaomeng Hu +6 more
Large Language Models (LLMs) have become ubiquitous in everyday life and are entering higher-stakes applications ranging from summarizing meeting...
Yi Ni, Liwei Zhu, Shuai Li
Chimeric antigen receptor T-cell (CAR-T) therapy represents a paradigm shift in cancer treatment, yet development timelines of 8-12 years and...
Liang Shan, Kaicheng Shen, Wen Wu +7 more
Ensuring the safety of Large Language Models (LLMs) is critical for real-world deployment. However, current safety measures often fail to address...
Peng Zhang, Peijie Sun
Safety alignment instills in Large Language Models (LLMs) a critical capacity to refuse malicious requests. Prior works have modeled this refusal...
Shuyuan Liu, Jiawei Chen, Xiao Yang +2 more
With the widespread application of large language models (LLMs) in various fields, the security challenges they face have become increasingly...
Seif Ikbarieh, Kshitiz Aryal, Maanak Gupta
The rapid expansion of the Internet of Things (IoT) is reshaping communication and operational practices across industries, but it also broadens the...
Jiayi Fu, Yuansen Zhang, Yinggui Wang
Large Language Models (LLMs) demonstrate strong capabilities in solving complex tasks when integrated with external tools. The Model Context Protocol...
Tim Beyer, Jonas Dornbusch, Jakob Steimle +3 more
The rapid expansion of research on Large Language Model (LLM) safety and robustness has produced a fragmented and oftentimes buggy ecosystem of...
Qi Li, Jianjun Xu, Pingtao Wei +8 more
With the widespread application of Large Language Models (LLMs), their associated security issues have become increasingly prominent, severely...
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