activity
20172026
most citedGraphTrack: A Graph-based Cross-Device Tracking Framework

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

A Blind Trust, the Bloody Thrust: When Attacker-Controlled Hook Updates Steer AI Agent Harnesses towards Malicious Behaviors

Pengxun Li, Litian Zhang, Jianwei Hou +4

Modern AI agent harnesses expose lifecycle hooks that bind shell commands to runtime events such as session start, tool calls, and file edits. These commands run with host privileg…

cs.CR2025

Large Language Models Cannot Reliably Detect Vulnerabilities in JavaScript: The First Systematic Benchmark and Evaluation

Qingyuan Fei, Xin Liu, Song Li +4

Researchers have proposed numerous methods to detect vulnerabilities in JavaScript, especially those assisted by Large Language Models (LLMs). However, the actual capability of LLM…

cs.CR2025★ 1 cited

SmartGuard: Leveraging Large Language Models for Network Attack Detection through Audit Log Analysis and Summarization

Hao Zhang, Shuo Shao, Song Li +3

End-point monitoring solutions are widely deployed in today's enterprise environments to support advanced attack detection and investigation. These monitors continuously record sys…

cs.CR2022★ 1 cited

GraphTrack: A Graph-based Cross-Device Tracking Framework

Binghui Wang, Tianchen Zhou, Song Li +2

Cross-device tracking has drawn growing attention from both commercial companies and the general public because of its privacy implications and applications for user profiling, per…

cs.CR2017

Deterministic Browser

Yinzhi Cao, Zhanhao Chen, Song Li +1

Timing attacks have been a continuous threat to users' privacy in modern browsers. To mitigate such attacks, existing approaches, such as Tor Browser and Fermata, add jitters to th…