The lecture will demonstrate the use of Machine Learning to improve privacy and to create and incorporate faces in video. Building blocks of such technologies will be discussed along with differences on the needs of Privacy vs. Face Recognition capabilities. The presentation will also show advances in generation of live faces and use of such technology within Synthetic Media used by the good guys (as opposed to deep-fakes). Several practical challenges of the real world vs. machine learning algorithms of various kinds and goals will be reviewed, such as guarantee for better privacy and better cost performance vs other alternatives.
Curriculum vitæ
Mickey Cohen graduated in Applied Physics from the Weizmann Institute of Science, then developed Smart Card Based PayTV user management systems with NDS (DirectTV in the USA and Sky/VideoCrypt in Europe). He has been dealing with Practical Cryptography and Information Security for over 30 years. His Biometrics expertise includes governmental identity document issuing systems for 15 years. He was a major contributor to the development of the Ecuador RFeID card, including the M.o.I software, Tanzania's biometric eDriving License, Zanzibar's biometric voter card and many more.
For the last 4 years, he also operates as GDPR and privacy expert. Additionally, he is heading the Israeli ISO delegation to standardization in Biometrics (SC37), Cyber and Privacy (SC27) and Identity Documents (SC17), and participates in many related Working Groups (WGs).
He enjoys latest advances in Machine Learning and Artificial Intelligence in these fields.
