Moti Yung


Moti Yung is a Security and Privacy Research Scientist with Google. He got his PhD from Columbia University in 1988. Previously, he was with IBM Research, Certco, RSA Laboratories, and Snap. He has also been an adjunct senior research faculty at Columbia, where he has co-advised and worked with numerous PhD students.

Yung is a fellow of the IEEE, the Association for Computing Machinery (ACM), the International Association for Cryptologic Research (IACR), and the European Association for Theoretical Computer Science (EATCS). In 2010 he gave the IACR Distinguished Lecture. He is the recipient of the 2014 ACM’s SIGSAC Outstanding Innovation award, the 2014 ESORICS (European Symposium on Research in Computer Security) Outstanding Research award, an IBM Outstanding Innovation award, a Google OC award, and a Google founders’ award.

Yung’s main professional interests are in Security, Privacy, and Cryptography. His contributions to research and development treat science and technology holistically: from the theoretical mathematical foundations, via conceptual mechanisms which typify computer science, to participation in design and development of industrial products. His published work (articles, patents, a book, and edited books) includes collaborations with more than 300 highly appreciated co-authors.

Yung’s work has been predicting future needs of secure systems, and analyzing coming threats. These led to basic theoretical and applied notions, like: ransomware attacks, cryptosystems subversion, concurrent sessions in authentication protocols, strong secure encryption, and digital signatures from simplified cryptography. His industrial work gave rise to new diversified mechanisms, some of which are in extensive use. These include: public-key based second factor authentication device; new factors for user identification; distributed signing methods; numerous very large scale (web and mobile) encryption schemes; anonymization of historical user data; transparency and control for web users; secure data collection; secure large scale distributed computation protocol for privacy preserving data analytics; and secure cloud storage.


2018 W. Wallace McDowell Award Recipient
For innovative contributions to computer and network security, predicting, both attack scenarios and design needs in this important evolving area.
Learn about the Wallace McDowell Award