2018 DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security (DYNAMICS) Workshop

This two-day workshop is intended to focus on novel applied and theoretical work that combines machine learning techniques such as reinforcement learning, adversarial machine learning, and deep learning with significant problems in cybersecurity. We consider both offensive and defensive applications of machine learning to security, with narrow topics grouped into six major topic areas presented over two days. Suggested topics: Data Generation and Preparation; Feature Finding and Event Analysis; Adversarial Machine Learning for Cybersecurity; Machine Learning-Based Defense and Response; Machine Learning-Based Offensive Techniques; Trustworthy Analytics.