Microsoft Develops Video Authenticator to Identify Deepfakes

Microsoft debuted a Video Authenticator tool that can analyze a still photo or video to determine the percentage of the chance that it is an AI-manipulated deepfake. For videos, Microsoft said the tool will work on a frame-by-frame basis in real time. The company’s tool is based on a FaceForensics++ public database and detects the “blending boundary” of the deepfake, with “subtle fading or grayscale elements” that may be indistinguishable by the human eye. It has been tested on the Deepfake Detection Challenge dataset. Continue reading Microsoft Develops Video Authenticator to Identify Deepfakes

Google Offers Deepfakes for Researching Detection Methods

Google, in cooperation with its internal tech incubator Jigsaw, released a large number of deepfakes, which have been added to the FaceForensics benchmark run by the Technical University of Munich and the University of Naples Federico II. The deepfakes will be available for free to researchers developing detection techniques. Previously, Google released text-to-speech models as part of the AVspoof 2019 competition to develop systems to distinguish between real and computer-generated speech. Continue reading Google Offers Deepfakes for Researching Detection Methods

Google Pledges $300 Million in Effort to Clean Up Fake News

Google has set its sights on combating fake news on the Internet, pledging to spend $300 million over the next three years in support of what The New York Times calls “authoritative journalism.” The Google News Initiative’s goals include making it easier for Googlers to subscribe to news and providing publishers with tools for fast-loading mobile pages. In partnership with Harvard Kennedy School’s First Draft initiative, Google will also create a “Disinfo Lab” to identify fake news, particularly during moments when it’s breaking.

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