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• Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
  2018 · 44 citations
• Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks
  2018 · 40 citations
• Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
  2017 · 9 citations
• AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack
  2016 · 2 citations
• Label-efficient Training Updates for Malware Detection over Time
  2026
• An Explainable Memory Forensics Approach for Malware Analysis
  2026
• Are Trees Really Green? A Detection Approach of IoT Malware Attacks
  2025
• Can you See me? On the Visibility of NOPs against Android Malware Detectors
  2023