A System-driven taxonomy of attacks and defenses in adversarial machine learning

Mathematics

• Taxonomy 100%
• Machine Learning 83%
• Attack 77%
• Autonomous Vehicles 15%
• Best Practice 13%
• Computational Intelligence 12%
• Experiment 12%
• Supervised Learning 12%
• Model 11%
• Misclassification 11%
• Real-world Applications 10%
• Robot 10%
• Biometrics 10%
• Learning Algorithm 10%
• Architecture 9%
• Well-defined 8%
• Evaluate 6%
• Knowledge 6%
• Strategy 5%
• Cycle 5%
• Relationships 5%

Engineering & Materials Science

• Taxonomies 80%
• Machine learning 56%
• Autonomous vehicles 9%
• Supervised learning 8%
• Biometrics 8%
• Artificial intelligence 7%
• Learning algorithms 7%
• Experiments 6%
• Robots 5%