2,560+ academic papers on AI security, attacks, and defenses
Showing 161–180 of 932 papers
Clear filtersJunxiao Yang, Haoran Liu, Jinzhe Tu +9 more
Large language models (LLMs) often demonstrate strong safety performance in high-resource languages, yet exhibit severe vulnerabilities when queried...
Hanbo Huang, Xuan Gong, Yiran Zhang +2 more
Large language model (LLM) watermarking has emerged as a promising approach for detecting and attributing AI-generated text, yet its robustness to...
Ricardo Bessa, Rui Claro, João Trindade +1 more
The application of Machine Learning techniques in code generation is now a common practice for most developers. Tools such as ChatGPT from OpenAI...
Yiran Ling, Wenxuan Li, Siying Dong +5 more
Robot grasping of desktop object is widely used in intelligent manufacturing, logistics, and agriculture.Although vision-language models (VLMs) show...
Shuhao Zhang, Yuli Chen, Jiale Han +2 more
Watermarking provides a critical safeguard for large language model (LLM) services by facilitating the detection of LLM-generated text....
Xiaomeng Hu, Yinger Zhang, Fei Huang +7 more
AI agents are expected to perform professional work across hundreds of occupational domains (from emergency department triage to nuclear reactor...
Yuchen Chen, Yuan Xiao, Chunrong Fang +2 more
The proliferation of large language models for code (CodeLMs) and open-source contributions has heightened concerns over unauthorized use of source...
Xuwei Ding, Skylar Zhai, Linxin Song +6 more
Computer-use agents (CUAs) can now autonomously complete complex tasks in real digital environments, but when misled, they can also be used to...
Wenhao Yuan, Chenchen Lin, Jian Chen +3 more
In large language model (LLM) agents, reasoning trajectories are treated as reliable internal beliefs for guiding actions and updating memory....
Nam Duong Tran, Phi Le Nguyen
Recent advances in Vision-Language Models (VLMs) have greatly enhanced the integration of visual perception and linguistic reasoning, driving rapid...
Nicolás E. Díaz Ferreyra, Monika Swetha Gurupathi, Zadia Codabux +2 more
Generative Artificial Intelligence (GenAI) has become a central component of many development tools (e.g., GitHub Copilot) that support software...
Weiwei Qi, Zefeng Wu, Tianhang Zheng +4 more
Ensuring Large Language Model (LLM) safety is crucial, yet the lack of a clear understanding about safety mechanisms hinders the development of...
Labani Halder, Payel Sadhukhan, Sarbani Palit
Ensuring reliability in adversarial settings necessitates treating privacy as a foundational component of data-driven systems. While differential...
Rui Zhang, Hongwei Li, Yun Shen +6 more
The deployment of large language models (LLMs) raises significant ethical and safety concerns. While LLM alignment techniques are adopted to improve...
Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt +1 more
In language model interpretability research, \textbf{circuit tracing} aims to identify which internal features causally contributed to a particular...
Mehrdad Rostamzadeh, Sidhant Narula, Nahom Birhan +2 more
The Model Context Protocol (MCP) enables large language models (LLMs) to dynamically discover and invoke third-party tools, significantly expanding...
Hengkai Ye, Zhechang Zhang, Jinyuan Jia +1 more
Large language models (LLMs) increasingly rely on external tools to perform time-sensitive tasks and real-world actions. While tool integration...
Yu Liang, Liangxin Liu, Longzheng Wang +5 more
Generative reward models (GRMs) have emerged as a promising approach for aligning Large Language Models (LLMs) with human preferences by offering...
Yuanhang Li
Operating LEO mega-constellations requires translating high-level operator intents ("reroute financial traffic away from polar links under 80 ms")...
Yen-Shan Chen, Sian-Yao Huang, Cheng-Lin Yang +1 more
As large language models (LLMs) evolve from static chatbots into autonomous agents, the primary vulnerability surface shifts from final outputs to...
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