NISHANTH CHANDRAN: Practical Secure Machine Learning – Part 1

On August 1, 2023, Nishanth Chandran (Microsoft Research India) talked about Practical Secure Machine Learning during the 2nd IACR Summer School on Privacy-Preserving Machine Learning.

The school was organized by Stefan Dziembowski and IDEAS NCBR. It was partly supported by the International Association for Cryptologic Research (IACR).

Bio:

Nishanth Chandran is a Principal Researcher at Microsoft Research, India. His research interests are in problems related to cryptography, cloud security, confidential computing and secure computation. Prior to joining MSRI, Nishanth was a Researcher at AT&T Labs, and before that he was a Post-doctoral Researcher at MSR Redmond.

Nishanth is a recipient of the 2010 Chorafas Award for exceptional achievements in research and his research has received coverage in science journals and in the media at venues such as Nature and MIT Technology Review. He has published several papers in top computer science conferences and journals such as Crypto, Eurocrypt, IEEE S&P, CCS, STOC, FOCS, SIAM Journal of Computing, Journal of the ACM, and so on. His work on position-based cryptography was selected as one of the top 3 works and invited to QIP 2011 as a plenary talk. Nishanth has served on the technical program committee of many of the top cryptography conferences on several occasions and he holds several US Patents. Nishanth received his Ph.D. in Computer Science from UCLA, M.S. in Computer Science from UCLA, and B.E. in Computer Science and Engineering from Anna University (Hindustan College of Engineering), Chennai.

Nishanth is also a top ranking (A grade) All India Radio South Indian Classical (Carnatic) Violinist.

#iacr #cryptography #research

[minisong]

May I ask if you could share the video mentioned by the speaker about "yesterday: FSS protocols for equality test and comparison"?