AI handily beats humans at biometric spoof attack detection in ID R&D research

Biometric spoofing attacks are more easily spotted by artificial intelligence-based computer systems than by people, according to new research published by ID R&D. The new report, 'Human or Machine: AI Proves Best at Spotting Biometric Attacks,' compares the relative effectiveness of humans and computers detecting presentation attacks, in terms of speed and accuracy. Liveness detection was tested against images including spoof attempts with printed photos, videos, digital images, and 2D or 3D masks, according to the announcement. The company's IDLive Face accepted 0 percent of face biometric spoofs across all types of attacks and 175,000 images. People fared far worse, failing to spot spoofs in every category, including 30 percent of photo prints, one of the easiest spoof attacks for fraudsters to carry out.