2,529+ academic papers on AI security, attacks, and defenses
Showing 81–100 of 2,529 papers
Zuoyu Zhang, Yancheng Zhu
Tool-using agent systems powered by large language models (LLMs) are increasingly deployed across web, app, operating-system, and transactional...
Yuhui Wang, Tanqiu Jiang, Jiacheng Liang +2 more
As large language model (LLM)-powered agents are increasingly deployed to perform complex, real-world tasks, they face a growing class of attacks...
Prakhar Gupta, Garv Shah, Donghua Zhang
Safety fine-tuning of language models typically requires a curated adversarial dataset. We take a different approach: score each candidate prompt's...
Javad Forough, Marios Kogias, Hamed Haddadi
Agentic AI systems, specifically LLM-driven agents that plan, invoke tools, maintain persistent memory, and delegate tasks to peer agents via...
Divyam Anshumaan, Sarthak Choudhary, Nils Palumbo +1 more
LLM agents release private data across multi-service interactions. Existing prompt sanitizers based on metric differential privacy treat each release...
Mingshuo Liu, Yiwei Zha, Min Chen
Browsing-enabled LLM assistants can fetch webpages and answer contact-seeking queries, creating a practical channel for scraping contact-style...
Kemal Derya, Berk Sunar
Defending large language models (LLMs) against jailbreak attacks, such as Greedy Coordinate Gradient (GCG), remains a challenge, particularly under...
Zahir Alsulaimawi, Huaping Liu
Federated learning (FL) lets distributed nodes train a shared model without exchanging their raw data, but in privacy-sensitive deployments medical...
Kerri Prinos, Lilianne Brush, Cameron Denton +5 more
Agentic systems involved in high-stake decision-making under adversarial pressure need formal guarantees not offered by existing approaches....
Ruichao Liang, Jing Chen, Xianglong Li +5 more
Smart contract vulnerabilities in Decentralized Finance caused over billions of dollars losses every year, yet the security community faces a...
Mingming Zha, Xiaofeng Wang
Autonomous LLM agents operate as long-running processes with persistent workspaces, memory files, scheduled task state, and messaging integrations....
Purna Sai Garigipati, Onur Ayan, Kishor Chandra Joshi +1 more
Artificial Intelligence (AI) will play an essential role in 6G. It will fundamentally reshape the network architecture itself and drive major changes...
Sandra Arcos-Holzinger, Sarah M. Erfani, James Bailey +1 more
Self-supervised speech models (S3Ms) achieve strong downstream performance, yet their learned representations remain poorly understood under natural...
Gelei Xu, Ningzhi Tang, Xueyang Li +4 more
Healthcare automation is shaped by local procedures and organizational constraints, so agent capabilities rarely transfer unchanged across settings....
Junjie Yu, Pengrui Lu, Weiye Si +75 more
Benchmarks within the OpenClaw ecosystem have thus far evaluated exclusively assistant-level tasks, leaving the academic-level capabilities of...
Mario Rodríguez Béjar, Francisco J. Cortés-Delgado, S. Braghin +1 more
Large language models (LLMs) remain vulnerable to jailbreak attacks that bypass safety alignment and elicit harmful responses. A growing body of work...
Arne Roszeitis, Bartosz Burgiel, Victor Jüttner +1 more
Smart devices, such as light bulbs, TVs, fridges, etc., equipped with computing capabilities and wireless communication, are part of everyday life in...
Wenjing Duan, Qi Zhou, Yuanfan Li
Machine-generated text (MGT) detection is critical for regulating online information ecosystems, yet existing detectors often underperform in...
Judith Sáinz-Pardo Díaz, Álvaro López García
The growing development of artificial intelligence based solutions, together with privacy legislation, has driven the rise of the so-called privacy...
Adel ElZemity, Budi Arief, Shujun Li +6 more
Bare-metal operational technology (OT) devices -- especially the microcontrollers running Modbus/TCP and CoAP at the base of industrial control...
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