Google makes deepfakes to fight deepfakes

Google has released a database of 3,000 deepfakes – videos that use artificial intelligence to alter faces or to make people say things they never did.

The videos are of actors and use a variety of publicly available tools to alter their faces.

The search giant hopes it will help researchers build the tools needed to take down “harmful” fake videos.
https://www.bbc.com/news/technology-49837927

Also see:

Contributing Data to Deepfake Detection Research
Deep learning has given rise to technologies that would have been thought impossible only a handful of years ago. Modern generative models are one example of these, capable of synthesizing hyperrealistic images, speech, music, and even video. These models have found use in a wide variety of applications, including making the world more accessible through text-to-speech, and helping generate training data for medical imaging.

Like any transformative technology, this has created new challenges. So-called “deepfakes”—produced by deep generative models that can manipulate video and audio clips—are one of these. Since their first appearance in late 2017, many open-source deepfake generation methods have emerged, leading to a growing number of synthesized media clips. While many are likely intended to be humorous, others could be harmful to individuals and society.
https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html

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