malware-classification

Black Hat USA 2022·27 min

• Black Hat
• Malware
• Date: 2022
• Location: Black Hat

Dmitrijs Trizna

Analyzes malware Classification With Machine Learning Enhanced by Windows Kernel Emulation and evaluates key implications for security practitioners.

Main Stage·30 min

• DEF CON
• Malware
• Date: Aug 2015
• Location: Las Vegas

John Seymour

John Seymour investigates quantum machine learning algorithms applied to static binary feature spaces to optimize high-speed malware classification.