MPC meets ML: Privacy-Preserving Machine Learning

MPC meets ML: Privacy-Preserving Machine Learning

Cybersecurity Seminars Online seminar
Thursday, 05 August 2021
3 pm - 4 pm (AEST)

This talk is on privacy-preserving machine learning using Multi-Party Computation (MPC) techniques. The primary work that the talk will rely on is:

SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning
Authors: Nishat Koti, Mahak Pancholi, Arpita Patra, Ajith Suresh
Usenix Security Symposium 2021.

About the speaker

Arpita Patra
Associate Professor, Indian Institute of Science, Bangalore

Arpita Patra is presently an associate professor at Indian Institute of Science. Her area of interest is Cryptography, focusing on theoretical and practical aspects of secure multiparty computation protocols. She received her PhD from Indian Institute of Technology (IIT), Madras and held post-doctoral positions at University of Bristol, UK, ETH Zurich, Switzerland, and Aarhus University, Denmark. Her research has been recognized with a Google AI/ML Research Award,  an NASI Young Scientist Platinum Jubilee Award, a SERB Women Excellence award, an INAE Young Engineer award and associateships with various scientific bodies such as Indian Academy of Sciences (IAS), National Academy of Engineering (INAE), The World Academy of Sciences (TWAS). She is a council member of Indian Association for Research in Computing Science (IARCS) since December 2017.

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