Deep fake image and video tampering detection by Professor Sabah Jassim

Fri 26 Jul 2019
14:15 - 15:15


Franciscan Building Room F06
Room F06, Verney Park


Amy Barnes
01280 828350

Sabah JassimRecent advances in computer vision and machine learning provide huge benefits in a variety of applications that benefit humanity greatly (e.g. Biomedical image analysis for early detection of diseases such as cancer).

But these technologies that  have been exploited for serious forms of image tampering attacks. Examples include morphing face images to undermine reliability of traveller identification by automated border control

Systems, as well as Deep-Fake image/video generation for unethical exploitation by political rivalries.  This seminar aims to establish that Persistent Homology provides a rich source for detecting such attacks.