What are Deepfakes, and How Can We Detect Them?
Date and time
Location
Online event
In this webcast, Shannon Gallagher and Dominic Ross discuss deepfakes, and what makes them distinguishable as fake for people and computers.
About this event
In this webcast, Shannon Gallagher and Dominic Ross discuss what deepfakes are, and how they are building AI/ML tech to distinguish real from fake. They will start with some well-known examples of deepfakes and discuss what makes them distinguishable as fake for people and computers.
What attendees will learn
- the definition of deepfake
- fooling computers vs. fooling people
- how digital fingerprints are used in detection algorithms
- challenges in the field
Who should attend
- multi media analysts
- data scientists/machine learning researchers
- technical managers
- CISOs
About the Speakers
Shannon Gallagher is a data scientist at the Software Engineering Institute, where she works on various statistical and machine-learning projects. She received her PhD in 2019 in statistics from Carnegie Mellon University and subsequently completed a two-year post-doc at the National Institute of Allergy and Infectious Diseases. Besides modeling data, Shannon also has interests in data visualization and experimental design.
Dominic Ross is the broadcast media design team lead at the Software Engineering Institute, and focuses on multi-media research and transformative gamification projects. Dominic designs and engineers production studios and systems used to acquire training, conferences, webinars, corporate and broadcast video used by the federal cybersecurity workforce, Carnegie Mellon University, and the Software Engineering Institute.