2,589+ academic papers on AI security, attacks, and defenses
Showing 1621–1640 of 2,589 papers
Hao Li, Yubing Ren, Yanan Cao +3 more
Benefiting from the superior capabilities of large language models in natural language understanding and generation, Embeddings-as-a-Service (EaaS)...
Safwan Shaheer, G. M. Refatul Islam, Mohammad Rafid Hamid +1 more
In this fast-evolving area of LLMs, our paper discusses the significant security risk presented by prompt injection attacks. It focuses on small...
Saksham Sahai Srivastava, Haoyu He
Large Language Model (LLM) agents increasingly rely on long-term memory and Retrieval-Augmented Generation (RAG) to persist experiences and refine...
Zhexi Lu, Hongliang Chi, Nathalie Baracaldo +3 more
Membership inference attacks (MIAs) pose a critical privacy threat to fine-tuned large language models (LLMs), especially when models are adapted to...
Hao Li, Yubing Ren, Yanan Cao +4 more
With the rapid development of cloud-based services, large language models (LLMs) have become increasingly accessible through various web platforms....
Vahideh Zolfaghari
Large language models (LLMs) are increasingly consulted by parents for pediatric guidance, yet their safety under real-world adversarial pressures is...
Adam Kaufman, James Lucassen, Tyler Tracy +2 more
Future AI agents might run autonomously with elevated privileges. If these agents are misaligned, they might abuse these privileges to cause serious...
Joao Queiroz
Recent evidence shows that the versification of prompts constitutes a highly effective adversarial mechanism against aligned LLMs. The study...
Seok-Hyun Ga, Chun-Yen Chang
The rapid development of Generative AI is bringing innovative changes to education and assessment. As the prevalence of students utilizing AI for...
Siva Sai, Ishika Goyal, Shubham Sharma +3 more
The increasing number of cyber threats and rapidly evolving tactics, as well as the high volume of data in recent years, have caused classical...
Xuanjun Zong, Zhiqi Shen, Lei Wang +2 more
Large language models (LLMs) are evolving into agentic systems that reason, plan, and operate external tools. The Model Context Protocol (MCP) is a...
Pablo Montaña-Fernández, Ines Ortega-Fernandez
Federated Learning is a machine learning setting that reduces direct data exposure, improving the privacy guarantees of machine learning models. Yet,...
Richard Helder Moulton, Austin O'Brien, John D. Hastings
Although large language models (LLMs) are increasingly used in security-critical workflows, practitioners lack quantitative guidance on which...
Xinyu Huang, Shyam Karthick V B, Taozhao Chen +5 more
The integration of Large Language Models (LLMs) into robotics has revolutionized their ability to interpret complex human commands and execute...
Edward Y. Chang
Large Language Models exhibit sycophancy: prioritizing agreeableness over correctness. Current remedies evaluate reasoning outcomes: RLHF rewards...
Nnamdi Philip Okonkwo, Lubna Luxmi Dhirani
Cloud Security Operations Center (SOC) enable cloud governance, risk and compliance by providing insights visibility and control. Cloud SOC triages...
Sahibpreet Singh, Shikha Dhiman
The integration of generative Artificial Intelligence into the digital ecosystem necessitates a critical re-evaluation of Indian criminal...
Viet K. Nguyen, Mohammad I. Husain
Agentic AI introduces security vulnerabilities that traditional LLM safeguards fail to address. Although recent work by Unit 42 at Palo Alto Networks...
Arth Bhardwaj, Sia Godika, Yuvam Loonker
Traditional, centralized security tools often miss adaptive, multi-vector attacks. We present the Multi-Agent LLM Cyber Defense Framework (MALCDF), a...
Yihan Liao, Jacky Keung, Xiaoxue Ma +2 more
The rapid advancement of Large Language Models (LLMs) has been driven by extensive datasets that may contain sensitive information, raising serious...
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