Publication

Domain Adaptation in Multi-Channel Autoencoder based Features for Robust Face Anti-Spoofing

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The vulnerability of face recognition systems to presentation attacks has limited their application in security-critical scenarios. Automatic methods of detecting such malicious attempts are essential for the safe use of facial recognition technology. Alth ...

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Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks

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Face recognition has evolved as a widely used biometric modality. However, its vulnerability against presentation attacks poses a significant security threat. Though presentation attack detection (PAD) methods try to address this issue, they often fail in ...

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Learning One Class Representations for Presentation Attack Detection using Multi-channel Convolutional Neural Networks

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DOMAIN ADAPTATION FOR GENERALIZATION OF FACE PRESENTATION ATTACK DETECTION IN MOBILE SETTINGS WITH MINIMAL INFORMATION

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Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks

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This paper addresses the problem of face presentation attack detection using different image modalities. In particular, the usage of short wave infrared (SWIR) imaging is considered. Face presentation attack detection is performed using recent models based ...

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