2,077+ academic papers on AI security, attacks, and defenses
Showing 41–50 of 50 papers
Clear filtersXiaoyi Pang, Xuanyi Hao, Pengyu Liu +3 more
Recent intelligent systems integrate powerful Large Language Models (LLMs) through APIs, but their trustworthiness may be critically undermined by...
Qingxiao Xu, Ze Sheng, Zhicheng Chen +1 more
Large language models (LLMs) have shown promise for automated patching, but their effectiveness depends strongly on how they are integrated into...
Yijun Yu
Agentic AI systems exhibit numerous crosscutting concerns -- security, observability, cost management, fault tolerance -- that are poorly modularized...
Reva Schwartz, Carina Westling, Morgan Briggs +12 more
This paper proposes CIRCLE, a six-stage, lifecycle-based framework to bridge the reality gap between model-centric performance metrics and AI's...
Chuanming Tang, Ling Qing, Shifeng Chen
The rapid evolution of sophisticated cyberattacks has strained modern Security Operations Centers (SOC), which traditionally rely on rule-based or...
Quanjun Zhang, Chengyu Gao, Yu Han +4 more
The rapid advancement of Large Language Models (LLMs) has led to the emergence of intelligent agents capable of autonomously interacting with...
Kimberly T. Mai, Anna Gausen, Magda Dubois +5 more
AI is increasingly being used to assist fraud and cybercrime. However, it is unclear the extent to which current large language models can provide...
Yongchang Zhang, Oliver Ma, Tianyi Liu +2 more
Recent large vision-language models (LVLMs) have demonstrated impressive reasoning ability by generating long chain-of-thought (CoT) responses....
Xinfeng Li, Shenyu Dai, Kelong Zheng +4 more
Large language model (LLM) agents are rapidly becoming trusted copilots in high-stakes domains like software development and healthcare. However,...
Che Wang, Jiaming Zhang, Ziqi Zhang +6 more
The integration of external data services (e.g., Model Context Protocol, MCP) has made large language model-based agents increasingly powerful for...
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