Deepfakes: The Risks and The Opportunities

This event will be available live at SEMI, as well as over Zoom. Get to SEMI by 6:30pm to network – and enjoy great pizza and refreshments! All attendees MUST register using the Eventbrite form (see link).
A Deepfake is a photo, video, or audio file that has been digitally altered or created to misrepresent or enhance reality. If AI is trained to detect Deepfakes, of course the detection can only be as good as the suitability of the training data set for the challenge it is facing during inference. At the stage of inference, the AI uses the weights calculated during training to predict Deepfakes.
While working for Reality Defender, and while working closely with its Chief Defender, speaker Benjamin Mencer learned how hard it is to detect Deepfakes even using machine learning. Since the term was coined in 2017, Deepfakes have improved to the point where we may no longer be able to tell the difference between fakes and reality.
In this talk, Benjamin Mencer will describe some consequences of Deepfake technology, as well as new challenges that are arising. He will also describe challenges and solutions to the problems that one may encounter during detection training and inference. Finally, he will give examples of both the risks and the opportunities associated with Deepfakes as they create a space for new advancements in society.
Speaker(s): , Benjamin Mencer
567 Yosemite Dr, Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/374816