2,529+ academic papers on AI security, attacks, and defenses
Showing 2441–2460 of 2,529 papers
Jiacheng Shi, Hongfei Du, Y. Alicia Hong +1 more
Speech emotion recognition (SER) with audio-language models (ALMs) remains vulnerable to distribution shifts at test time, leading to performance...
Giuseppe Canale
This paper presents the Cybersecurity Psychology Framework (CPF), a novel methodology for quantifying human-centric vulnerabilities in security...
Yuepeng Hu, Zhengyuan Jiang, Mengyuan Li +4 more
Large language models (LLMs) are often modified after release through post-processing such as post-training or quantization, which makes it...
Kunlun Zhu, Zijia Liu, Bingxuan Li +15 more
Large Language Model (LLM) agents, which integrate planning, memory, reflection, and tool-use modules, have shown promise in solving complex,...
Yanchen Jiang, Zhe Feng, Aranyak Mehta
Large language models (LLMs) are increasingly used in modern search and answer systems to synthesize multiple, sometimes conflicting, texts into a...
Aryan Yazdan Parast, Parsa Hosseini, Hesam Asadollahzadeh +4 more
Object hallucination in Multimodal Large Language Models (MLLMs) is a persistent failure mode that causes the model to perceive objects absent in the...
Ayda Aghaei Nia
Completely Automated Public Turing tests to tell Computers and Humans Apart (CAPTCHAs) are a foundational component of web security, yet traditional...
Dawei Li, Zhen Tan, Chengshuai Zhao +6 more
Large Language Model (LLM)-based judgments leverage powerful LLMs to efficiently evaluate candidate content and provide judgment scores. However, the...
Akio Hayakawa, Stefan Bott, Horacio Saggion
Despite their strong performance, large language models (LLMs) face challenges in real-world application of lexical simplification (LS), particularly...
Qianshan Wei, Tengchao Yang, Yaochen Wang +7 more
Large Language Model (LLM) agents use memory to learn from past interactions, enabling autonomous planning and decision-making in complex...
Yupei Liu, Yanting Wang, Yuqi Jia +2 more
Prompt injection attacks pose a pervasive threat to the security of Large Language Models (LLMs). State-of-the-art prevention-based defenses...
Adrian Arnaiz-Rodriguez, Miguel Baidal, Erik Derner +5 more
Large language model-powered chatbots have transformed how people seek information, especially in high-stakes contexts like mental health. Despite...
Thomas Fargues, Ye Dong, Tianwei Zhang +1 more
The rapid growth of Large Language Models (LLMs) has highlighted the pressing need for reliable mechanisms to verify content ownership and ensure...
Zhifang Zhang, Qiqi Tao, Jiaqi Lv +3 more
Large vision-language models (LVLMs) have achieved impressive performance across a wide range of vision-language tasks, while they remain vulnerable...
Wenjie Fu, Huandong Wang, Junyao Gao +2 more
As Large Language Models (LLMs) achieve remarkable success across a wide range of applications, such as chatbots and code copilots, concerns...
Yuzhen Long, Songze Li
Autonomous driving systems increasingly rely on multi-agent architectures powered by large language models (LLMs), where specialized agents...
Jongwook Han, Jongwon Lim, Injin Kong +1 more
Large language models can express values in two main ways: (1) intrinsic expression, reflecting the model's inherent values learned during training,...
Zherui Li, Zheng Nie, Zhenhong Zhou +7 more
The rapid advancement of Diffusion Large Language Models (dLLMs) introduces unprecedented vulnerabilities that are fundamentally distinct from...
Weibo Zhao, Jiahao Liu, Bonan Ruan +2 more
Model Context Protocol (MCP) servers enable AI applications to connect to external systems in a plug-and-play manner, but their rapid proliferation...
Zihao Zhu, Xinyu Wu, Gehan Hu +3 more
Large Reasoning Models (LRMs) have demonstrated remarkable capabilities in complex problem-solving through Chain-of-Thought (CoT) reasoning. However,...
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