Technical Program Manager Carnegie Mellon University, United States
The capabilities for creating quality deepfake audio, image and video content have been rapidly improving in recent years due to advances in AI and machine learning. While this raises many individual privacy concerns, are deepfakes really a security threat to organizations? This session will explore the organizational security concerns posed by deepfakes and what you can do to combat the threats. You’ll learn the fundamentals of deepfakes, including how they are created, practical human deepfake detection methods and automated machine learning-based detection processes.
Learning Objectives:
Explain how deepfake content is created and approaches to detecting it.
Recognize how deepfakes can pose threats to organizations.
Implement actions to limit the risks posed by deepfakes.