497 citations · 582 across the 7 of their papers we have counts for
8 papers
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes
Pavel Korshunov, Haolin Chen, Philip N. Garner +1
The task of deepfakes detection is far from being solved by speech or vision researchers. Several publicly available databases of fake synthetic video and speech were built to aid…
Are GAN-based Morphs Threatening Face Recognition?
Eklavya Sarkar, Pavel Korshunov, Laurent Colbois +1
Morphing attacks are a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applicat…
Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
Eklavya Sarkar, Pavel Korshunov, Laurent Colbois +1
Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered. This form of attack presents an important issue in applicati…
Deepfake detection: humans vs. machines
Pavel Korshunov, Sébastien Marcel
Deepfake videos, where a person's face is automatically swapped with a face of someone else, are becoming easier to generate with more realistic results. In response to the threat…
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…
pyannote.audio: neural building blocks for speaker diarization
Hervé Bredin, Ruiqing Yin, Juan Manuel Coria +7
We introduce pyannote.audio, an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it provides a set of trainable end-to-en…
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…
DeepFakes: a New Threat to Face Recognition? Assessment and Detection
Pavel Korshunov, Sebastien Marcel
It is becoming increasingly easy to automatically replace a face of one person in a video with the face of another person by using a pre-trained generative adversarial network (GAN…