2,077+ academic papers on AI security, attacks, and defenses
Showing 801–809 of 809 papers
Clear filtersRunqi Lin, Alasdair Paren, Suqin Yuan +4 more
The integration of new modalities enhances the capabilities of multimodal large language models (MLLMs) but also introduces additional...
Hanbo Huang, Yiran Zhang, Hao Zheng +4 more
Large Language Models (LLMs) watermarking has shown promise in detecting AI-generated content and mitigating misuse, with prior work claiming...
Anh Tu Ngo, Anupam Chattopadhyay, Subhamoy Maitra
In this paper we show that cryptographic backdoors in a neural network (NN) can be highly effective in two directions, namely mounting the attacks as...
Atousa Arzanipour, Rouzbeh Behnia, Reza Ebrahimi +1 more
Retrieval-Augmented Generation (RAG) is an emerging approach in natural language processing that combines large language models (LLMs) with external...
Xiaofan Li, Xing Gao
In recent years, various software supply chain (SSC) attacks have posed significant risks to the global community. Severe consequences may arise if...
Tanmay Khule, Stefan Marksteiner, Jose Alguindigue +3 more
In modern automotive development, security testing is critical for safeguarding systems against increasingly advanced threats. Attack trees are...
Md Jueal Mia, M. Hadi Amini
Vision-Language Models (VLMs) have remarkable abilities in generating multimodal reasoning tasks. However, potential misuse or safety alignment...
Xiyu Zeng, Siyuan Liang, Liming Lu +5 more
As the capabilities of Vision Language Models (VLMs) continue to improve, they are increasingly targeted by jailbreak attacks. Existing defense...
Wence Ji, Jiancan Wu, Aiying Li +5 more
With the rapid advancement of large language models (LLMs), their robustness against adversarial manipulations, particularly jailbreak backdoor...
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