2,529+ academic papers on AI security, attacks, and defenses
Showing 121–140 of 1,906 papers
Clear filtersDavid Fernandez, Pedram MohajerAnsari, Amir Salarpour +1 more
Vision-language models (VLMs) are increasingly used in autonomous driving because they combine visual perception with language-based reasoning,...
Neha Nagaraja, Hayretdin Bahsi, Carlo R. da Cunha
As large language models are integrated into autonomous robotic systems for task planning and control, compromised inputs or unsafe model outputs can...
Mahshid Rezakhani, Nowfel Mashnoor, Kimia Azar +1 more
As large language models (LLMs) are increasingly fine-tuned for hardware tasks like RTL code generation, the scarcity of high-quality datasets often...
Soheil Khodayari, Xuenan Zhang, Bhupendra Acharya +1 more
As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input...
Benjamin Probst, Andreas Happe, Jürgen Cito
Recent research has demonstrated the potential of Large Language Models (LLMs) for autonomous penetration testing, particularly when using...
Wenhao Lan, Shan Li, Junbin Yang +2 more
Safety-aligned language models must refuse harmful requests without collapsing into broad over-refusal, but the training-time mechanisms behind this...
Ermanno Francesco Sannini, Francesco Salzano, Simone Scalabrino +4 more
Smart Contracts are essential blockchain components, mainly written in Solidity. The high availability of public Solidity code leads to frequent...
Zhijun Li, Minghui Xu, Huayi Qi +6 more
Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud...
Zhijun Li, Minghui Xu, Huayi Qi +6 more
Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud...
Yuan Xin, Yixuan Weng, Minjun Zhu +6 more
As Large Language Models (LLMs) are increasingly integrated into academic peer review, their vulnerability to adversarial prompts -- adversarial...
Hanna Foerster, Ilia Shumailov, Cheng Zhang +3 more
Dynamic quantization emerged as a practical approach to increase the utilization and efficiency of the machine learning serving flow. Unlike static...
Weiyi Kong, Ahmad Mohammad Saber, Amr Youssef +1 more
In modern energy systems, industrial control systems (ICS) and power-system SCADA require intrusion detection that is not only accurate but also...
Shirin Alanova, Bogdan Minko, Sabrina Sadiekh +1 more
Safety mechanisms for large language models (LLMs) remain predominantly English-centric, creating systematic vulnerabilities in multilingual...
Zeming Dong, Yuejun Guo, Qiang Hu +5 more
Source code and its accompanying comments are complementary yet naturally aligned modalities-code encodes structural logic while comments capture...
Eranga Bandara, Ross Gore, Asanga Gunaratna +12 more
The rapid deployment of autonomous AI agents across enterprise, healthcare, and safety-critical environments has created a fundamental governance...
Harry Collins, Hartmut Grote, Paul Newbury +2 more
This paper is under review in AI and Ethics This study examines whether large language models (LLMs) can reliably answer scientific questions and...
Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad Hamdaqa
Code understanding models increasingly rely on pretrained language models (PLMs) and graph neural networks (GNNs), which capture complementary...
Mengyao Du, Han Fang, Haokai Ma +4 more
Web agents have emerged as an effective paradigm for automating interactions with complex web environments, yet remain vulnerable to prompt injection...
Ziming Zhang, Li Li, Guorui Feng +2 more
Large language models (LLMs) are widely deployed in multiple scenarios due to reasoning capabilities. In order to prevent the models from being...
Kemal Bicakci
Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical...
Get breaking CVE alerts, compliance reports (ISO 42001, EU AI Act), and CISO risk assessments for your AI/ML stack.
Start 14-Day Free Trial
AI Threat Alert