2,077+ academic papers on AI security, attacks, and defenses
Showing 701–715 of 715 papers
Clear filtersYue Liu, Yanjie Zhao, Yunbo Lyu +3 more
Agentic AI coding editors driven by large language models have recently become more popular due to their ability to improve developer productivity...
Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park +2 more
We address the challenge of generating diverse attack prompts for large language models (LLMs) that elicit harmful behaviors (e.g., insults, sexual...
Jingkai Guo, Chaitali Chakrabarti, Deliang Fan
Model integrity of Large language models (LLMs) has become a pressing security concern with their massive online deployment. Prior Bit-Flip Attacks...
Haibo Tong, Dongcheng Zhao, Guobin Shen +4 more
The remarkable capabilities of Large Language Models (LLMs) have raised significant safety concerns, particularly regarding "jailbreak" attacks that...
Runqi 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...
Ping He, Changjiang Li, Binbin Zhao +2 more
The remarkable capability of large language models (LLMs) has led to the wide application of LLM-based agents in various domains. To standardize...
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...
Wenkai Guo, Xuefeng Liu, Haolin Wang +3 more
Fine-tuning large language models (LLMs) with local data is a widely adopted approach for organizations seeking to adapt LLMs to their specific...
Adam Swanda, Amy Chang, Alexander Chen +3 more
The widespread adoption of Large Language Models (LLMs) has revolutionized AI deployment, enabling autonomous and semi-autonomous applications across...
Maria Chiper, Radu Tudor Ionescu
Phishing attacks targeting both organizations and individuals are becoming an increasingly significant threat as technology advances. Current...
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...
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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