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Detection of Real-time DeepFakes in Video Conferencing with Active Probing and Corneal Reflection. (arXiv:2210.14153v1 [cs.CV])
Oct. 26, 2022, 1:15 a.m. | Hui Guo, Xin Wang, Siwei Lyu
cs.CV updates on arXiv.org arxiv.org
The COVID pandemic has led to the wide adoption of online video calls in
recent years. However, the increasing reliance on video calls provides
opportunities for new impersonation attacks by fraudsters using the advanced
real-time DeepFakes. Real-time DeepFakes pose new challenges to detection
methods, which have to run in real-time as a video call is ongoing. In this
paper, we describe a new active forensic method to detect real-time DeepFakes.
Specifically, we authenticate video calls by displaying a distinct pattern …
arxiv deepfakes detection real-time video video conferencing
More from arxiv.org / cs.CV updates on arXiv.org
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