2,104+ academic papers on AI security, attacks, and defenses
Showing 921–940 of 2,104 papers
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...
Chalitha Handapangoda
The reliance of Large Language Models and Internet of Things systems on massive, globally distributed data flows creates systemic security and...
Hongjun An, Yiliang Song, Jiangan Chen +3 more
Large Language Model (LLM) training often optimizes for preference alignment, rewarding outputs that are perceived as helpful and...
Imtiaz Ali Soomro, Hamood Ur Rehman, S. Jawad Hussain ID +3 more
The rapid proliferation of Internet of Things (IoT) devices across domains such as smart homes, industrial control systems, and healthcare networks...
Chao Liu, Ngai-Man Cheung
3D Vision-Language Models (VLMs), such as PointLLM and GPT4Point, have shown strong reasoning and generalization abilities in 3D understanding tasks....
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...
Víctor Mayoral-Vilches, María Sanz-Gómez, Francesco Balassone +6 more
AI-driven penetration testing now executes thousands of actions per hour but still lacks the strategic intuition humans apply in competitive...
Qingyuan Li, Chenchen Yu, Chuanyi Li +4 more
Vulnerabilities severely threaten software systems, making the timely application of security patches crucial for mitigating attacks. However,...
Junda Lin, Zhaomeng Zhou, Zhi Zheng +4 more
LLM agents operating in open environments face escalating risks from indirect prompt injection, particularly within the tool stream where manipulated...
Ahmad Alobaid, Martí Jordà Roca, Carlos Castillo +1 more
The availability of Large Language Models (LLMs) has led to a new generation of powerful chatbots that can be developed at relatively low cost. As...
G M Shahariar, Zabir Al Nazi, Md Olid Hasan Bhuiyan +1 more
Vision Language Models (VLMs) are increasingly integrated into privacy-critical domains, yet existing evaluations of personally identifiable...
Zenghao Duan, Zhiyi Yin, Zhichao Shi +8 more
Large language models (LLMs) exhibit exceptional performance but pose inherent risks of generating toxic content, restricting their safe deployment....
Jingxiao Yang, Ping He, Tianyu Du +2 more
Recent advances in software vulnerability detection have been driven by Language Model (LM)-based approaches. However, these models remain vulnerable...
Jua Han, Jaeyoon Seo, Jungbin Min +2 more
One mistake by an AI system in a safety-critical setting can cost lives. As Large Language Models (LLMs) become integral to robotics decision-making,...
Balachandra Devarangadi Sunil, Isheeta Sinha, Piyush Maheshwari +3 more
Large language model agents equipped with persistent memory are vulnerable to memory poisoning attacks, where adversaries inject malicious...
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...
Swapnil Shinde, Sahil Wadhwa, Andy Luo +2 more
Rapid evolution of Large Language Models (LLMs) has achieved major advances in reasoning, planning, and function-calling capabilities. Multi-agentic...
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