Facebook researchers would like to be able to detect the deepfakes their own platform helps spread.
On Friday, the company published a blog post summarizing months of collaborative work aimed at developing a framework for automatically detecting the form of machine-learning generated manipulated media known as deepfakes. Called the Deepfake Detection Challenge, the project brought together thousands of participants in a shared effort to moderate, but not overwhelming, success.
Specifically, the blog post notes that of the over 35,000 models submitted, the top performer (against real-world examples) was able to detect deepfakes with an accuracy of 65.18 percent. So, better than a coin toss! Read more...
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