2,077+ academic papers on AI security, attacks, and defenses
Showing 141–160 of 355 papers
Clear filtersYing Zhou, Jiacheng Wei, Yu Qi +2 more
Large language models (LLMs) demonstrate remarkable capabilities in natural language understanding and generation. Despite being trained on...
Vasanth Iyer, Leonardo Bobadilla, S. S. Iyengar
Large Language Models (LLMs) such as Gemma-2B have shown strong performance in various natural language processing tasks. However, general-purpose...
Qiang Zhang, Elena Emma Wang, Jiaming Li +1 more
This study presents a Secure Multi-Tenant Architecture (SMTA) combined with a novel concept Burn-After-Use (BAU) mechanism for enterprise LLM...
Minfeng Qi, Dongyang He, Qin Wang +1 more
Visual Reasoning CAPTCHAs (VRCs) combine visual scenes with natural-language queries that demand compositional inference over objects, attributes,...
Keyang Zhang, Zeyu Chen, Xuan Feng +4 more
The security of scripting languages such as PowerShell is critical given their powerful automation and administration capabilities, often exercised...
Hoang-Chau Luong, Lingwei Chen
Low-Rank Adaptation (LoRA) is widely used for parameter-efficient fine-tuning of large language models, but it is notably ineffective at removing...
Tianshi Li
On December 4, 2025, Anthropic released Anthropic Interviewer, an AI tool for running qualitative interviews at scale, along with a public dataset of...
Zhi Yang, Runguo Li, Qiqi Qiang +15 more
Financial agents powered by large language models (LLMs) are increasingly deployed for investment analysis, risk assessment, and automated...
Suyash Mishra, Qiang Li, Srikanth Patil +1 more
Vision Language Models (VLMs) are poised to revolutionize the digital transformation of pharmacyceutical industry by enabling intelligent, scalable,...
Konstantinos E. Kampourakis, Vyron Kampourakis, Efstratios Chatzoglou +2 more
Realistic, large-scale, and well-labeled cybersecurity datasets are essential for training and evaluating Intrusion Detection Systems (IDS). However,...
Huawei Zheng, Xinqi Jiang, Sen Yang +3 more
Large language models (LLMs) are increasingly applied in specialized domains such as finance and healthcare, where they introduce unique safety...
Xiaoyu Xu, Minxin Du, Zitong Li +6 more
Although machine unlearning is essential for removing private, harmful, or copyrighted content from LLMs, current benchmarks often fail to faithfully...
Dinesh Srivasthav P, Ashok Urlana, Rahul Mishra +2 more
Machine unlearning aims to selectively remove the influence of specific training samples to satisfy privacy regulations such as the GDPR's 'Right to...
Antonio Colacicco, Vito Guida, Dario Di Palma +2 more
Large Language Models (LLMs) are increasingly applied in recommendation scenarios due to their strong natural language understanding and generation...
Jinwei Hu, Xinmiao Huang, Youcheng Sun +2 more
As large language models (LLMs) transition to autonomous agents synthesizing real-time information, their reasoning capabilities introduce an...
Junyu Liu, Zirui Li, Qian Niu +7 more
As Large Language Models (LLMs) are increasingly deployed in healthcare field, it becomes essential to carefully evaluate their medical safety before...
Muntasir Adnan, Carlos C. N. Kuhn
Large Language Models have become integral to software development, yet they frequently generate vulnerable code. Existing code vulnerability...
Zhuoran Tan, Run Hao, Jeremy Singer +2 more
Tool-augmented LLM agents raise new security risks: tool executions can introduce runtime-only behaviors, including prompt injection and unintended...
Milad Rahmati, Nima Rahmati
The proliferation of Internet of Things devices in critical infrastructure has created unprecedented cybersecurity challenges, necessitating...
Muhammad Bilal, Omer Tariq, Hasan Ahmed
Timing and burst patterns can leak through encryption, and an adaptive adversary can exploit them. This undermines metadata-only detection in a...
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