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20172022
most citedDeepFakes: a New Threat to Face Recognition? Assessment and Detection

497 citations · 673 across the 22 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV201915 cited

Smartphone Multi-modal Biometric Authentication: Database and Evaluation

Raghavendra Ramachandra, Martin Stokkenes, Amir Mohammadi +6

Biometric-based verification is widely employed on the smartphones for various applications, including financial transactions. In this work, we present a new multimodal biometric d…

eess.AS2019

The Speed Submission to DIHARD II: Contributions & Lessons Learned

Md Sahidullah, Jose Patino, Samuele Cornell +11

This paper describes the speaker diarization systems developed for the Second DIHARD Speech Diarization Challenge (DIHARD II) by the Speed team. Besides describing the system, whic…

cs.CV201913 cited

Vulnerability of Face Recognition to Deep Morphing

Pavel Korshunov, Sébastien Marcel

It is increasingly easy to automatically swap faces in images and video or morph two faces into one using generative adversarial networks (GANs). The high quality of the resulted d…

cs.CV2019

Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network

Anjith George, Zohreh Mostaani, David Geissenbuhler +3

Face recognition is a mainstream biometric authentication method. However, vulnerability to presentation attacks (a.k.a spoofing) limits its usability in unsupervised applications.…

cs.CV2019

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

Olegs Nikisins, Anjith George, Sebastien Marcel

While the performance of face recognition systems has improved significantly in the last decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of…

cs.CV2019

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Anjith George, Sebastien Marcel

Face recognition has evolved as a prominent biometric authentication modality. However, vulnerability to presentation attacks curtails its reliable deployment. Automatic detection…