Addressing Deepfake Issue in Selfie banking through camera based authentication
By: Subhrojyoti Mukherjee, Manoranjan Mohanty
Potential Business Impact:
Finds fake faces used to trick banks.
Fake images in selfie banking are increasingly becoming a threat. Previously, it was just Photoshop, but now deep learning technologies enable us to create highly realistic fake identities, which fraudsters exploit to bypass biometric systems such as facial recognition in online banking. This paper explores the use of an already established forensic recognition system, previously used for picture camera localization, in deepfake detection.
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