8 citations · 15 across the 3 of their papers we have counts for
4 papers · 1 filter
Heimdallr: Characterizing and Detecting LLM-Induced Security Risks in GitHub CI Workflows
Bonan Ruan, Yeqi Fu, Chuqi Zhang +3
GitHub Continuous Integration (CI) workflows increasingly integrate Large Language Models (LLMs) to automate review, triage, content generation, and repository maintenance. This cr…
MASKDROID: Robust Android Malware Detection with Masked Graph Representations
Jingnan Zheng, Jiaohao Liu, An Zhang +4
Android malware attacks have posed a severe threat to mobile users, necessitating a significant demand for the automated detection system. Among the various tools employed in malwa…
The HitchHiker's Guide to High-Assurance System Observability Protection with Efficient Permission Switches
Chuqi Zhang, Jun Zeng, Yiming Zhang +4
Protecting system observability records (logs) from compromised OSs has gained significant traction in recent times, with several note-worthy approaches proposed. Unfortunately, no…
Unraveling the Key of Machine Learning-based Android Malware Detection
Jiahao Liu, Jun Zeng, Fabio Pierazzi +3
With the rapid advancement of machine learning (ML), ML-based Android malware detection has gained significant popularity due to its ability to automatically learn malicious patter…