2,077+ academic papers on AI security, attacks, and defenses
Showing 101–113 of 113 papers
Clear filtersVinay Bamil
Recent advances in large language models have enabled developers to generate software by conversing with artificial intelligence systems rather than...
Man Hu, Xinyi Wu, Zuofeng Suo +5 more
With the rise of advanced reasoning capabilities, large language models (LLMs) are receiving increasing attention. However, although reasoning...
Chongyu Fan, Changsheng Wang, Yancheng Huang +2 more
Machine unlearning for large language models (LLMs) aims to remove undesired data, knowledge, and behaviors (e.g., for safety, privacy, or copyright)...
Lorenzo Baraldi, Zifan Zeng, Chongzhe Zhang +9 more
The rapid progress in embodied artificial intelligence has highlighted the necessity for more advanced and integrated models that can perceive,...
Cade Houston Kennedy, Amr Hilal, Morteza Momeni
With the growth of digital financial systems, robust security and privacy have become a concern for financial institutions. Even though traditional...
Mizanur Rahman, Amran Bhuiyan, Mohammed Saidul Islam +5 more
Recent advances in large language models (LLMs) have enabled a new class of AI agents that automate multiple stages of the data science workflow by...
Niloofar Mireshghallah, Tianshi Li
The discourse on privacy risks in Large Language Models (LLMs) has disproportionately focused on verbatim memorization of training data, while a...
Guolei Huang, Qinzhi Peng, Gan Xu +3 more
As Vision-Language Models (VLMs) move into interactive, multi-turn use, safety concerns intensify for multimodal multi-turn dialogue, which is...
Kunlun Zhu, Zijia Liu, Bingxuan Li +15 more
Large Language Model (LLM) agents, which integrate planning, memory, reflection, and tool-use modules, have shown promise in solving complex,...
Dawei Li, Zhen Tan, Chengshuai Zhao +6 more
Large Language Model (LLM)-based judgments leverage powerful LLMs to efficiently evaluate candidate content and provide judgment scores. However, the...
Wenjie Fu, Huandong Wang, Junyao Gao +2 more
As Large Language Models (LLMs) achieve remarkable success across a wide range of applications, such as chatbots and code copilots, concerns...
Weibo Zhao, Jiahao Liu, Bonan Ruan +2 more
Model Context Protocol (MCP) servers enable AI applications to connect to external systems in a plug-and-play manner, but their rapid proliferation...
Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt +2 more
Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks (GANs) act as both...
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