Every day, new examples of deepfakes are surfacing. Some are meant to be entertaining or funny, but many are meant to deceive. Early deepfake attacks targeted public figures. However, businesses, government organizations, and healthcare entities have also become prime targets. A recent analysis found that slightly more than half of businesses in the United States and the United Kingdom have been targets of financial scams powered by deepfake technology, with 43 percent falling victim to such attacks. On the national security front, deepfakes can be weaponized, enabling the dissemination of misinformation, disinformation, and malinformation (MDM). It is difficult, but not impossible, to detect deepfakes with the aid of machine intelligence. However, detection methods must continue to evolve as generation techniques become increasingly sophisticated. To counter the threat posed by deepfakes, our team of researchers in the Carnegie Mellon University Software Engineering Institute CERT Division developed a software framework for forgery detection.
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