This, is evidently a threat in digital ID verification of many eKYC processes that we have witnessed. Furthermore, deepfake can be produced by anyone without knowledge in AI or 3D modelling, simply by using off-the-shelf facial animation tool.
Helping businesses to widen sales funnel, speed-up processes without paper and prevent frauds using e-KYC and low-code process digitization.
Wednesday, September 25, 2019
Using Deep Learning Technology to Prevent Deepfake in eKYC
Deepfake is a rising threat, particularly for its effectiveness in impersonation. By combining and superimposing existing images and videos onto source images or videos using a machine learning technique known as generative adversarial network, it is feasible to create a good quality animated face which can satisfy liveness test checked through facial landmark movement (e.g. eye blink, mouth movement, head yaw/pitch), and impersonate as another facial identity.
This, is evidently a threat in digital ID verification of many eKYC processes that we have witnessed. Furthermore, deepfake can be produced by anyone without knowledge in AI or 3D modelling, simply by using off-the-shelf facial animation tool.
This, is evidently a threat in digital ID verification of many eKYC processes that we have witnessed. Furthermore, deepfake can be produced by anyone without knowledge in AI or 3D modelling, simply by using off-the-shelf facial animation tool.
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