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• ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
  2022 · 46 citations
• Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries
  2019 · 24 citations
• Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
  2020 · 21 citations
• Explaining Machine Learning DGA Detectors from DNS Traffic Data
  2022 · 4 citations
• Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
  2024 · 2 citations
• secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python
  2021 · 1 citations
• Robust Machine Learning for Malware Detection over Time
  2022 · 1 citations
• Nebula: Self-Attention for Dynamic Malware Analysis
  2023
• Robust Synthetic Data-Driven Detection of Living-Off-the-Land Reverse Shells
  2024
• Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
  2024