Nearly three quarters of U.S. adults worry deepfakes could sway election: Jumio
The hour is ripe for political deepfakes. The U.S. presidential elections are still four months away, and the campaign has…
Biometric liveness refers to the use of computer vision technology to detect the genuine presence of a living user, rather than a representation such as a photograph or a mask. Presentation attack detection (PAD) technologies can utilize active or passive detection methods. Typically associated with facial recognition, liveness can also be applied to voice recognition to distinguish present speakers from audio recordings, and finger or palm biometrics such as by detecting blood flow, and even iris recognition. Find liveness detection solutions.
The hour is ripe for political deepfakes. The U.S. presidential elections are still four months away, and the campaign has…
Selfie biometrics provider Smile ID (formally Smile Identity) has achieved the completion of 150 million identity verifications – five months…
Youverse has announced a fourfold improvement in its liveness detection capabilities. The company boasts that the update aims to upgrade…
Voice deepfake attacks capable of fooling call center agents, automated systems, employees and loved ones have spiked this year, with…
Engineers at Meta have filed for a patent to cover an authentication system that combines voice biometrics with skin vibrations….
Generative AI identity service provider IDVerse has announced that TrustID, a digital identity service provider, has signed on as a…
AI-generated content such as deepfakes is facing increasing scrutiny. Three new research resources – authored by search giant Google, identity…
Ukraine is seeking an independent evaluation of the Presentation Attack Detection (PAD) technology for face biometrics used in Diia, the…
At the Mobile World Congress Shanghai 2024, Honor, a global smartphone company, unveiled two AI-powered features—AI Deepfake Detection and AI…
People are losing faith in their banks, as generative AI makes deepfakes, voice cloning, injection attacks and other malicious assets…