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• Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
  2023 · 32 citations
• "Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
  2022 · 3 citations
• The Role of Domain-Specific Features in Malware Detection: A macOS Case Study
  2026
• "Do Users fall for Real Adversarial Phishing?" Investigating the Human response to Evasive Webpages
  2023