May 1, 2023, 1:10 a.m. | Pulak Mehta, Gauri Jagatap, Kevin Gallagher, Brian Timmerman, Progga Deb, Siddharth Garg, Rachel Greenstadt, Brendan Dolan-Gavitt

cs.CR updates on arXiv.org arxiv.org

Recent advancements in machine learning and computer vision have led to the
proliferation of Deepfakes. As technology democratizes over time, there is an
increasing fear that novice users can create Deepfakes, to discredit others and
undermine public discourse. In this paper, we conduct user studies to
understand whether participants with advanced computer skills and varying
levels of computer science expertise can create Deepfakes of a person saying a
target statement using limited media files. We conduct two studies; in the …

advanced computer computer vision deepfakes discourse led machine machine learning proliferation public studies technology understand

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