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20232026
most citedFrontier AI systems have surpassed the self-replicating red line

5 citations · 5 across the 13 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.CR2026

MATE: Policy-Aware Security Auditing for Mobile Agents via Synthesis-Driven Trajectory Learning

Changyue Jiang, Jiayi Wang, Xin Wen +3

Mobile agents powered by foundation models now automate complex, multi-step workflows on real devices, but their trajectories can violate app-specific security policies. Existing t…

cs.CR2026

Rethinking MCP Security: A Large-Scale Study of Runtime MCP Servers and Security Scanner Reliability

Pei Chen, Baichao An, Mengying Wu +6

The Model Context Protocol (MCP) has rapidly established itself as a standard interface for enabling LLM-based agents to interact with external tools and services. As MCP servers a…

cs.CR2026

The Emergence of Autonomous Penetration Capabilities in Large Language Model-Powered AI Systems

Jiaqi Luo, Jiarun Dai, Zhile Chen +8

Nowadays, the autonomous execution of cyberattacks capable of causing substantial real-world harm is widely regarded as one of the critical red lines that frontier AI systems must…

cs.CR2026

AgentCyberRange: Benchmarking Frontier AI Systems in Realistic Cyber Ranges

Fengyu Liu, Jiarun Dai, Yihe Fan +11

Frontier AI systems are increasingly capable of cybersecurity tasks, including codebase inspection, vulnerability detection, and exploitation. However, evaluating their offensive c…

cs.CR2026

CyberEvolver: Structured Self-Evolution for Cybersecurity Agents On the Fly

Yihe Fan, Changyi Li, Lichen Xu +4

LLM-based agents are increasingly used for cybersecurity tasks, but most existing systems rely on fixed, human-designed scaffolds that struggle to adapt across diverse targets and…

cs.CR2026

AgentGuard: An Attribute-Based Access Control Framework for Tool-Use LLM-Based Agent

Jiaqi Luo, Songyang Peng, Jiarun Dai +6

LLM-based agents have recently attracted significant attention due to their ability to autonomously invoke relevant tools to accomplish complex tasks. However, recent studies have…

cs.AI2026

MirrorGuard: Toward Secure Computer-Use Agents via Simulation-to-Real Reasoning Correction

Wenqi Zhang, Yulin Shen, Changyue Jiang +3

Large foundation models are integrated into Computer Use Agents (CUAs), enabling autonomous interaction with operating systems through graphical user interfaces (GUIs) to perform c…

cs.AI2026

WebTrap Park: An Automated Platform for Systematic Security Evaluation of Web Agents

Xinyi Wu, Jiagui Chen, Geng Hong +4

Web Agents are increasingly deployed to perform complex tasks in real web environments, yet their security evaluation remains fragmented and difficult to standardize. We present We…

cs.CR2026

When Bots Take the Bait: Exposing and Mitigating the Emerging Social Engineering Attack in Web Automation Agent

Xinyi Wu, Geng Hong, Yueyue Chen +5

Web agents, powered by large language models (LLMs), are increasingly deployed to automate complex web interactions. The rise of open-source frameworks (e.g., Browser Use, Skyvern-…