2,077+ academic papers on AI security, attacks, and defenses
Showing 721–740 of 986 papers
Clear filtersHaonan Shi, Guoli Wang, Tu Ouyang +1 more
Small language models (SLMs) are increasingly deployed on edge devices, making their safety alignment crucial yet challenging. Current shallow...
Dachuan Lin, Guobin Shen, Zihao Yang +3 more
Safety evaluation of large language models (LLMs) increasingly relies on LLM-as-a-judge pipelines, but strong judges can still be expensive to use at...
Dilli Prasad Sharma, Liang Xue, Xiaowei Sun +2 more
The rapid proliferation of Internet of Things (IoT) devices has transformed numerous industries by enabling seamless connectivity and data-driven...
Jiayi Fu, Yuansen Zhang, Yinggui Wang
Large Language Models (LLMs) demonstrate strong capabilities in solving complex tasks when integrated with external tools. The Model Context Protocol...
Viet Nguyen, Vishal M. Patel
Recent advancements in large-scale generative models have enabled the creation of high-quality images and videos, but have also raised significant...
Amr Gomaa, Ahmed Salem, Sahar Abdelnabi
As language models evolve into autonomous agents that act and communicate on behalf of users, ensuring safety in multi-agent ecosystems becomes a...
Ishan Kavathekar, Hemang Jain, Ameya Rathod +2 more
Large Language Models (LLMs) have demonstrated strong capabilities as autonomous agents through tool use, planning, and decision-making abilities,...
Hadi Reisizadeh, Jiajun Ruan, Yiwei Chen +3 more
Unlearning in large language models (LLMs) is critical for regulatory compliance and for building ethical generative AI systems that avoid producing...
Cyril Vallez, Alexander Sternfeld, Andrei Kucharavy +1 more
As the role of Large Language Models (LLM)-based coding assistants in software development becomes more critical, so does the role of the bugs they...
Raunak Somani, Aswani Kumar Cherukuri
This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how...
Pedro Pereira, José Gouveia, João Vitorino +2 more
Magecart skimming attacks have emerged as a significant threat to client-side security and user trust in online payment systems. This paper addresses...
Tim Beyer, Jonas Dornbusch, Jakob Steimle +3 more
The rapid expansion of research on Large Language Model (LLM) safety and robustness has produced a fragmented and oftentimes buggy ecosystem of...
Oshando Johnson, Alexandra Fomina, Ranjith Krishnamurthy +3 more
The prevalence of security vulnerabilities has prompted companies to adopt static application security testing (SAST) tools for vulnerability...
Hirohane Takagi, Gouki Minegishi, Shota Kizawa +2 more
Although behavioral studies have documented numerical reasoning errors in large language models (LLMs), the underlying representational mechanisms...
Shiyin Lin
Software fuzzing has become a cornerstone in automated vulnerability discovery, yet existing mutation strategies often lack semantic awareness,...
Mohammad Atif Quamar, Mohammad Areeb, Mikhail Kuznetsov +2 more
Aligning large language models (LLMs) with human values is crucial for safe deployment. Inference-time techniques offer granular control over...
Botao 'Amber' Hu, Helena Rong
As the "agentic web" takes shape-billions of AI agents (often LLM-powered) autonomously transacting and collaborating-trust shifts from human...
Jon Kutasov, Chloe Loughridge, Yuqi Sun +4 more
As AI systems become more capable and widely deployed as agents, ensuring their safe operation becomes critical. AI control offers one approach to...
W. K. M Mithsara, Ning Yang, Ahmed Imteaj +2 more
The widespread integration of wearable sensing devices in Internet of Things (IoT) ecosystems, particularly in healthcare, smart homes, and...
Roy Rinberg, Adam Karvonen, Alexander Hoover +2 more
As large AI models become increasingly valuable assets, the risk of model weight exfiltration from inference servers grows accordingly. An attacker...
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