Paper titled ABY2.0: Improved Mixed-Protocol Secure Two-Party Computation (Authors: Arpita Patra, Thomas Schneider, Ajith Suresh, Hossein Yalame) got accepted to Usenix Security Symposium 2021!.

Paper titled The Resiliency of MPC with Low Interaction: The Benefit of Making Errors (Authors: Benny Applebaum, Eliran Kachlon, Arpita Patra) got accepted to TCC 2020!.

Divya has been awarded Student Best Paper Award at EECS Research Students' Symposium - 2020!.

Divya has joined Aarhus University for postdoc!.

Megha has been awarded Swamy medal for the best M.Tech. Research thesis!.

Arpita has been awarded Google Cloud Platform (GCP) credits!.

Paper titled On the Exact Round Complexity of Best-of-both-Worlds Multi-party Computation (Authors: Arpita Patra, Divya Ravi, Swati Singla) got accepted to ASIACRYPT 2020!.

Paper titled The Round Complexity of Perfect MPC with Active Security and Optimal Resiliency (Authors: Benny Applebaum, Eliran Kachlon, Arpita Patra) got accepted to FOCS 2020!.

Arpita has been awarded with Google India AI/ML Research Awards 2020!.

Arpita is promoted to Associate Professor by IISc.

Ajith has been selected to participate in the 8th Heidelberg Laureate Forum!.

Paper titled The Power of Shunning: Efficient Asynchronous Byzantine Agreement Revisited (Authors: Laasya Bangalore, Ashish Choudhury and Arpita Patra) got accepted to Journal of ACM (JACM)!.

Arpita Patra has been selected for funding from Mathematical Research Impact Centric Support (MATRICS), Science and Engineering Research Board for the project titled "Cryptography with Minimal Communication".

Paper titled BLAZE: Blazing Fast Privacy-Preserving Machine Learning (Authors: Arpita Patra and Ajith Suresh) got accepted to NDSS 2020!.

Mahak has been awarded with Cisco M. Tech fellowship!.

Ajith has been awarded with Google PhD Fellowship 2019!.

Paper titled Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning (Authors: Harsh Chaudhari, Rahul Rachuri and Ajith Suresh) got accepted to NDSS 2020!.

Paper titled FLASH: Fast and Robust Framework for Privacy-preserving Machine Learning (Authors: Megha Byali, Harsh Chaudhari, Arpita Patra and Ajith Suresh) got accepted to PETS 2020!.