Machine Learning for Malware Detection

by Edward Raff, Charles K. Nicholas (Editor)

Malware Analysis; Problem Space / Overview; Data And Labeling Challenges; Malware Mutations & Obfuscations; Fast Static Features; Advanced Domain Knowledge Static Features; Dynamic Analysis Features And Challenges; Interpreting Malware Models; Bayesian Uncertainty And Malware Analysis; Real World Case Study On Developing And Deploying A System; Game Theory For Malware; Adversarial Ml For Malware

450 pages, Hardcover

Expected publication July 30, 2026