Deep Learning Applications for Cyber Security

Adversarial Attack, Defense, and Applications with Deep Learning Frameworks.-  Intelligent Situational-Awareness Architecture for Hybrid Emergency Power Systems in More Electric Aircraft.- Deep Learning in Person Re-identication for Cyber-Physical Surveillance Systems.- Deep Learning-based Detection of Electricity Theft Cyber-attacks in Smart Grid AMI Networks.- Using Convolutional Neural Networks for Classifying Malicious Network Traffic.- DBD: Deep Learning DGA-based Botnet Detection.- Enhanced Domain Generating Algorithm Detection Based on Deep Neural Networks.- Intrusion Detection in SDN-based Networks: Deep Recurrent Neural Network Approach.- SeqDroid: Obfuscated Android Malware Detection using Stacked Convolutional and Recurrent Neural Networks.- Forensic Detection of Child Exploitation Material using Deep Learning.- Toward Detection of Child Exploitation Material:  A Forensic Approach.