Guest Lecture: Recipe for Building Trustworthy Systems: Biometrics to AI

Dr. Nalini K. Ratha will give a guest lecture: Recipe for Building Trustworthy Systems: Biometrics to AI.

Abstract

In recent years, biometrics systems have demonstrated unprecedented growth reaching billions of users, transactions and enrollments. As these systems are deployed in many mission critical applications, they are expected to be secure, robust, trustworthy and privacy enhancing. Many such features are highly desirable in the new generation of AI systems synonymous with deep learning systems. In the first part of the talk, we will illustrate the components in a robust biometric system including threat models for biometrics systems, improving security and privacy while improving efficient search capability and reporting confidence interval in performance evaluation. In the second
part, we will dwell upon how AI systems can be trustworthy based on the lessons learnt from biometrics systems. Specifically, we will discuss threat models extended to AI systems for adversarial attacks and its mitigation, bias compensation, and taking advantage of advances in blockchain technology and fully homomorphic encryption (FHE) in building AI systems to make them trustworthy.

Bio

Dr. Nalini K. Ratha is an Empire Innovation Professor at University at Buffalo – SUNY. Previously, he was a research staff member at IBM Thomas J. Watson Research Center, Yorktown Heights, NY. He received his B. Tech. in electrical engineering from Indian Institute of Technology, Kanpur, M.Tech. degree in computer science and engineering also from Indian Institute of Technology, Kanpur and Ph.D. in computer science from Michigan State University.

He has authored more than 100 research papers in the area of biometrics and has been co-chair of several leading biometrics conferences and served on the editorial boards of IEEE Trans. on PAMI, IEEE Trans. on SMC-B, IEEE Trans. on Image Processing and Pattern Recognition journal. He has co-authored a popular book on biometrics entitled Guide to Biometrics and also co-edited two books entitled Automatic Fingerprint Recognition Systems and Advances in Biometrics: Sensors, Algorithms and Systems. He has offered tutorials on biometrics technology at leading IEEE conferences and also teaches courses on biometrics and security. He is Fellow of IEEE, Fellow of IAPR and an ACM Distinguished Scientist. His research interests include biometrics, pattern recognition and computer vision.

He has been an adjunct professor at IIIT Delhi, Cooper Union and NYU. During 2011-2012 he was the president of the IEEE Biometrics Council. At IBM, he has received several awards including a Research Division Award, Outstanding Innovation Award and Outstanding Technical Accomplishment Award along with several patent achievement awards. In 2018 he was designated as an IBM Research Master Inventor. Recently, he has been
awarded the IEEE Biometrics Council Leadership award for 2019.