Deepfakes: The Risks and The Opportunities
Location: SEMI, Milpitas, CA
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.
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.
About the speaker, Benjamin Mencer Benjamin Mencer is a third-year Computer Science undergraduate and Philosophy minor at UC Santa Cruz. This fall he will be working on a project at Stanford SLAC involving Nuclear Fusion and X-Ray research. While working at Reality Defender, Benjamin developed a data pipeline to effectively prepare and form datasets for training. He worked closely with the company’s Chief Defender, as well as with the company’s audio and product teams. Benjamin has spoken at the Asilomar Microcomputer Workshop, and recently joined its Program Planning Team. He has also spoken at the AI/Machine Learning seminar at Stanford SLAC, and in the Stanford EE380 Computer Systems Colloquium.
Location: SEMI, Milpitas, CA
567 Yosemite Dr, Milpitas, CA 95035
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