Meta, Trust Stamp among firms turning attention to deepfake detection
Like an ouroboros swallowing its tail, AI continues its cycle of begetting deepfake fraud and detection tools to stop it….
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.
Like an ouroboros swallowing its tail, AI continues its cycle of begetting deepfake fraud and detection tools to stop it….
Digital KYC software from Vietnamese telecom Viettel has passed a test for compliance to the international biometric Presentation attack detection…
The importance of protecting digital integration has become increasingly apparent in the face of the rising prevalence of AI-generated deepfakes…
Europe’s standard for biometric data injection attacks is on track to be published in October of this year, and could…
Reality Defender is set to announce the launch of enhanced multilingual deepfake detection in its tool suite. In an exclusive…
When an employee on a video call at Arup’s Hong Kong offices transferred US$25 million to fraudsters at the request…
Deepfakes have become a cause for common concern, with articles and viral posts warning of their power to deceive. Real-life…
“It’s probably not as bad as this makes it seem,” says Andrew Hughes, VP of global standards for FaceTec and…
AuthenticID has introduced a software service designed to detect and combat deepfake and generative AI-based injection attacks against biometric verification…
In response to the user-friendly approach, passive liveness detection has gained popularity as it only requires the user to upload…