Swap It Like Its Hot: Segmentation-based spoof attacks on eye-tracking images

arXiv:2404.13827v1 Announce Type: new
Abstract: Video-based eye trackers capture the iris biometric and enable authentication to secure user identity. However, biometric authentication is susceptible to spoofing another user's identity through physical or digital manipulation. The current standard to identify physical spoofing attacks on eye-tracking sensors uses liveness detection. Liveness detection classifies gaze data as real or fake, which is sufficient to detect physical presentation attacks. However, such defenses cannot detect a spoofing attack when real eye image inputs are digitally …

abstract arxiv attacks authentication biometric biometric authentication cs.cv current detection digital hot however identify identity images manipulation segmentation sensors standard through tracking type video