Machine Learning and Security

Index

A

• A/B model testing, Feature: Feedback Loops, A/B Testing of Models
• access control
  • defined, Real-World Uses of Machine Learning in Security
  • network traffic analysis and, Access Control and Authentication
• account creation, Account Creation-Reputation scores
  • bots and, Bot Activity
  • reputation scores, Reputation scores-Reputation scores
  • velocity features, Velocity features-Velocity features
• account takeover (ATO), Cyber Threat Landscape, Authentication and Account Takeover-Building your classifier
• activation functions, Neural Networks
• active authentication, Access Control and Authentication
• active learning, Feature: Feedback Loops, A/B Testing of Models
• active network attacks, Active attacks-Active attacks
  • breaches, Active attacks
  • DoS, Active attacks
  • pivoting, Active attacks
  • spoofing, Active attacks
• adb (Android Debug Bridge), Behavioral (dynamic) analysis
• ADMM (alternating direction method of multipliers), Performance Optimization
• advanced persistent threats (APT), Cyber Threat Landscape
• adversarial examples, Mitigating Adversarial Effects
• adversarial machine learning, Adversaries Using Machine Learning, Adversarial Machine Learning-Conclusion
  • attack transferability, Attack Transferability
  • defined, Adversarial Machine Learning
  • evasion attacks, Attack Technique: Evasion Attack-Defense Against Evasion Attacks
  • generative adversarial nets, Attack Transferability
  • importance of, The Importance of Adversarial ML
  • model poisoning attacks, Attack Technique: Model Poisoning-Defense Against Poisoning Attacks
  • security ...