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• SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection
  2023 · 40 citations
• "Are Adversarial Phishing Webpages a Threat in Reality?" Understanding the Users' Perception of Adversarial Webpages
  2024 · 9 citations
• "Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
  2022 · 3 citations
• It's not Easy: Applying Supervised Machine Learning to Detect Malicious Extensions in the Chrome Web Store
  2025 · 1 citations
• "What is the Problem Space?" Defining Host-space Adversarial Perturbations against Network Intrusion Detection Systems
  2026
• I can't recognize (yet): Delayed Rendering to Defeat Visual Phishing Detectors
  2026
• E-PhishGen: Unlocking Novel Research in Phishing Email Detection
  2025
• Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI
  2025
• The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning