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Dezhang Kong

ACL 2026×2INFOCOM 2026NeurIPS 2026RTSS 2026安全智能体与工具长上下文与架构评测与基准代码
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3 一作 · 5 篇 · ACL 2026 / INFOCOM 2026 / NeurIPS 2026 / RTSS 2026

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2026 顶会论文

5
一作ACL 2026Findings· Findings of ACL

Web Fraud Attacks Against LLM -Driven Multi-Agent Systems

Dezhang Kong · Hujin Peng · Yilun Zhang · Lele Zhao · Zhenhua Xu · Shi Lin · Changting Lin · Meng Han

摘要

With the proliferation of LLM-driven multi-agent systems (MAS), the security of Web links has become a critical concern. Once MAS is induced to trust a malicious link, attackers can use it as a springboard to expand the attack surface. In this paper, we propose Web Fraud Attacks, a novel type of...

安全智能体与工具长上下文与架构OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

M al URLB ench: A Benchmark Evaluating Agents’ Vulnerabilities When Processing Web URL s

Dezhang Kong · Zhuxi Wu · Shiqi Liu · ZhiCheng Tan · Kuichen Lu · Minghao Li · Qichen Liu · Shengyu Chu · Zhenhua Xu · Xuan Liu · Meng Han

摘要

LLM-based web agents have become increasingly popular for their utility in daily life and work. However, they exhibit critical vulnerabilities when processing malicious URLs: accepting a disguised malicious URL enables subsequent access to unsafe webpages, which can cause severe damage to service...

安全评测与基准智能体与工具OpenReview 项目页

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