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Researchers have found a new tool that can be a crucial part of the fight against deepfakes.
The tool, which has been produced by researchers at the USC Information Sciences Institute, may, to the subtle features and movements of the head, along with the unique artifacts in the video files, and it seems to be you can identify such fakes, with a 96 percent accuracy rate.
Deepfakes, even amateur ones, such as the widely circulated video of the House of representatives, Nancy Pelosi, who have been held back in order for her to show up drunk, or senile, have become a growing concern, and asked for it as a protest against the Large-Tech for the not-to-do enough to crack down on them.
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A number of celebrities and public figures including Facebook CEO Mark Zuckerberg, are to be seen in the deepfakes.
Most of the deepfake detection models is to look at the video on a frame-by-frame basis, in order to determine whether or not they have been tampered with. However, the researchers of the USC, and a review of a video at a time, and to investigate the potential for inconsistencies in how the subject matter in the images, the movements, which the researchers refer to this as “softbiometric signatures” in their published work.
“In the face of these growing threats, we describe a forensic technique, which models the facial expressions and gestures that are unique to an individual and to speak of a pattern. Although it is not visually evident, these correlations, are often violated by the very nature of the depth-of the fake videos are made, and can therefore be used for authentication,” the researchers write in their study’s abstract.
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The scientists used a data set of about 1,000, manipulated the video to work out his tool, which was committed to figuring out deepfakes of prominent politicians and celebrities.
The problem of what to do about it deepfakes is not going to go away any time soon. Scientists last week unveiled a software tool that literally allows you to use words in people’s mouths.