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• Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
  2022 · 78 citations
• Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
  2024 · 8 citations
• Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
  2024 · 2 citations
• Towards a Practical Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via Randomized Smoothing
  2023 · 1 citations
• ByteShield: Adversarially Robust End-to-End Malware Detection through Byte Masking
  2025
• DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
  2025
• Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
  2023
• A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing
  2024
• Assessing the Impact of Packing on Machine Learning-Based Malware Detection and Classification Systems
  2024