Security News > 2019 > May > Researchers spot manipulated photos and video using AI-driven imaging system

To thwart sophisticated methods of altering photos and video, researchers at the NYU Tandon School of Engineering have demonstrated an experimental technique to authenticate images throughout the entire pipeline, from acquisition to delivery, using artificial intelligence (AI). In tests, this prototype imaging pipeline increased the chances of detecting manipulation from approximately 45 percent to over 90 percent without sacrificing image quality. Determining whether a photo or video is authentic is becoming increasingly problematic. Sophisticated techniques … More → The post Researchers spot manipulated photos and video using AI-driven imaging system appeared first on Help Net Security.

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