Saurabh Shintre

Dr. Saurabh Shintre is a Senior Principal Research Engineer. His research focuses on adversarial machine learning, distributed trust mechanisms, and cryptography. Dr. Shintre has published a number of papers and patents in the areas of insider threat detection, cryptopgraphy, machine learning, and privacy. In 2018, Dr. Shintre was selected as one of the future leaders by the Science and Technology in Society (STS) forum. He is a prolific public speaker and also served as the program committee member of the 2018 RSA Asia Pacific and Japan, where he organized a seminar on blockchain technology.

Dr. Shintre received his Ph.D. in Electrical and Computer Engineering from the Carnegie Mellon University and his Masters and Bachelors of Technology in Electrical Engineering from the Indian Institute of Technology Bombay, India.

Selected Academic Papers

  • Making Machine Learning Forget
    Saurabh Shintre, Kevin A. Roundy, and Jasjeet Dhaliwal
    In Proceedings of the 2019 ENISA Annual Privacy Forum (APF 2019)

    We specifically analyze how the “right-to-be-forgotten” provided by the European Union General Data Protection Regulation can be implemented on current machine learning models and which techniques can be used to build future models that can forget. This document also serves as a call-to-action for researchers and policy-makers to identify other technologies that can be used for this purpose.