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• On the (Statistical) Detection of Adversarial Examples
  2017 · 377 citations
• Adversarial Perturbations Against Deep Neural Networks for Malware Classification
  2016 · 321 citations
• The Limitations of Model Uncertainty in Adversarial Settings
  2018 · 24 citations
• Machine Learning Security against Data Poisoning: Are We There Yet?
  2022 · 13 citations
• How Wrong Am I? - Studying Adversarial Examples and their Impact on Uncertainty in Gaussian Process Machine Learning Models
  2017 · 7 citations
• Towards more Practical Threat Models in Artificial Intelligence Security
  2023 · 3 citations
• I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
  2025
• Killing four birds with one Gaussian process: the relation between different test-time attacks
  2018
• On the security relevance of weights in deep learning
  2019
• Adversarial Examples and Metrics
  2020
• Mental Models of Adversarial Machine Learning
  2021