Adversary Emulation in Machine Learning Systems: A Practical Approach Using AI
Investigates adversary Emulation in Machine Learning Systems: A Practical Approach Using AI and evaluates key implications for security practitioners.
Summary
Practical adversary emulation approach for machine learning systems using AI.
Related talks
Red Team Village·1 hr
Bruce Schneier · Anita Nikolich · Chris Cottrell · Rich Harang · Ram Shankar · Omar Santos
Bruce Schneier, Omar Santos, and industry AI leaders debate the future of artificial intelligence in offensive security, automated exploitation, and red teaming.
Red Team Village·1 hr 36 min
Bruce Schneier
Security technologist Bruce Schneier shares perspectives on AI-driven hacking, automated vulnerability discovery, and the societal implications of machine-speed attacks.
Red Team Village·35 min
Erdener Uyan · Gökberk Gülgün
Erdener Uyan and Gökberk Gülgün present an open-source machine learning framework for generating dynamic, automated red team attack scenarios.


