The IAPR Computation Forensics Technical Committee is announcing a new webinar Deepfake detection: humans vs. machines by Dr. Pavel Korshunov  on 27 January 2022 at (6 pm in Tokyo, 9 am in London, 10 am in Zürich, Paris and Roma, 8 pm in Melbourne).
The recording of the webinar can be downloaded from the following link:

Title: Deepfake detection: humans vs. machines

Abstract: Practically anyone can now generate a realistic looking deepfake video. Many methods to detect deepfakes were recently proposed by the research community. However, it is still unclear how realistic deepfake videos are for an average person and whether the algorithms are significantly better than humans at detecting them. In this talk, we will compare the results of a subjective study (60 naive subjects) and three deepfake detection algorithms in terms of the human and machine ability to distinguish real videos from different types of deepfakes.

Bio of the speaker: Pavel Korshunov is originally from St. Petersburg, Russia. He received his PhD from National University of Singapore in 2011, did his postdoc at EPFL (Switzerland), and since 2015 is a research associate in the Biometrics group at the Idiap Research Institute (Switzerland). His current interests include deepfake detections, audio-visual age verification, and image morphing. Previously, he also worked on video tampering detection, visual privacy protection, high dynamic range imaging, speech anti-spoofing, and crowdsourcing. 

This page summarizes all the keynotes and presentations related to the IAPR TC6 topics: