2 papers
cs.CR2025
LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
Tianwei Lan, Farid Naït-Abdesselam
The rapid growth in both the scale and complexity of Android malware has driven the widespread adoption of machine learning (ML) techniques for scalable and accurate malware detect…
cs.CR2025
Trust Under Siege: Label Spoofing Attacks against Machine Learning for Android Malware Detection
Tianwei Lan, Luca Demetrio, Farid Nait-Abdesselam +2
Machine learning (ML) malware detectors rely heavily on crowd-sourced AntiVirus (AV) labels, with platforms like VirusTotal serving as a trusted source of malware annotations. But…