activity
20222026
most citedLalaine: Measuring and Characterizing Non-Compliance of Apple Privacy Labels at Scale

6 citations · 6 across the 9 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

cs.SE2026

Understanding the Hierarchical Structure and Functional Landscape of the Model Context Protocol Ecosystem

Tingxuan Tang, Zilong Chen, Yue Xiao +2

AI agents increasingly rely on tools exposed through the Model Context Protocol (MCP) to complete user tasks. Hundreds of thousands of MCP servers are listed across marketplaces, y…

cs.CR2026

AVP-Inspect: Coordinated Cyber-Physical Testing for Privacy Analysis of COTS Apple Vision Pro Applications

Yichang Xiong, Vamsi Shankar Simhadri, Yue Xiao +1

XR devices introduce substantial privacy concerns due to their comprehensive data collection capabilities that surpass traditional computing platforms. While existing works have de…

cs.CR2026

AgentWard: A Lifecycle Security Architecture for Autonomous AI Agents

Yixiang Zhang, Xinhao Deng, Jiaqing Wu +3

Autonomous AI agents extend large language models into full runtime systems that load skills, ingest external content, maintain memory, plan multi-step actions, and invoke privileg…

cs.CR2026

How Far Should We Need to Go : Evaluate Provenance-based Intrusion Detection Systems in Industrial Scenarios

Yue Xiao, Ling Jiang, Sen Nie +4

Provenance-based Intrusion Detection Systems (PIDSes) have been widely used to detect Advanced Persistent Threats (APTs). Although many studies achieve high performance in the eval…

cs.CR2026

Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats

Xinhao Deng, Yixiang Zhang, Jiaqing Wu +15

Autonomous Large Language Model (LLM) agents, exemplified by OpenClaw, demonstrate remarkable capabilities in executing complex, long-horizon tasks. However, their tightly coupled…

cs.HC2026

"Are You Sure?": An Empirical Study of Human Perception Vulnerability in LLM-Driven Agentic Systems

Xinfeng Li, Shenyu Dai, Kelong Zheng +4

Large language model (LLM) agents are rapidly becoming trusted copilots in high-stakes domains like software development and healthcare. However, this deepening trust introduces a…

cs.CR2026

Understanding Human-AI Collaboration in Cybersecurity Competitions

Tingxuan Tang, Nicolas Janis, Kalyn Asher Montague +6

Capture-the-Flag (CTF) competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective s…

cs.AI2026

Automating Agent Hijacking via Structural Template Injection

Xinhao Deng, Jiaqing Wu, Miao Chen +3

Agent hijacking, highlighted by OWASP as a critical threat to the Large Language Model (LLM) ecosystem, enables adversaries to manipulate execution by injecting malicious instructi…