most citedAtomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Beyond OAuth: Task-Scoped Authorization for AI Agents via Natural Language Slices

Reshabh K Sharma, Linxi Jiang, Shuo Chen +1

AI agents increasingly execute users' natural-language (NL) tasks by calling Web services, yet today's Web authorizes these calls through OAuth, which grants permissions over opera…

cs.CR2026★ 1 cited

Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

Linxi Jiang, Zhijie Liu, Haotian Luo +1

Browser-use agents are widely used for everyday tasks. They enable automated interaction with web pages through structured DOM based interfaces or vision language models operating…

cs.AI2026

Web Agents Should Use Typed Actions Instead of Click-Based Browsing

Linxi Jiang, Rui Xi, Zhijie Liu +3

This position paper argues that building a reliable agentic Web requires shifting from low-level interaction primitives to typed actions supported by a semantic layer. Today's web…

cs.SE2025

Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol

Wei Ma, Yixiao Yang, Qiang Hu +8

Applications of Large Language Models~(LLMs) have evolved from simple text generators into complex software systems that integrate retrieval augmentation, tool invocation, and mult…

cs.CL2025

RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments

Zeyi Liao, Jaylen Jones, Linxi Jiang +5

Computer-use agents (CUAs) promise to automate complex tasks across operating systems (OS) and the web, but remain vulnerable to indirect prompt injection. Current evaluations of t…