Deployable Machine Learning for Security Defense

Chapter 1 A Large-Scale Analysis of Attacker Activity in Compromised Enterprise Accounts

Chapter 2 MALOnt: An Ontology for Malware Threat Intelligence

Chapter 3 FraudFox : Adaptable Fraud Detection in the Real World

Chapter 4 Towards Practical Robustness Improvement for Object Detection in Safety-Critical Scenarios

Chapter 5 Domain Generation Algorithm Detection Utilizing Model Hardening Through GAN-Generated Adversarial Examples

Chapter 6 Toward Explainable and Adaptable Detection and Classification of Distributed Denial-of-Service Attacks

Chapter 8 DAPT 2020 - Constructing a Benchmark Dataset for Advanced Persistent Threats