Mayank Rathee

Email ~ mayankr at berkeley dot edu | dblp, Scholar

I am a third-year CS Ph.D. student at UC Berkeley advised by Prof. Raluca Ada Popa.

From 2018-2020, I was a Research Fellow at Microsoft Research (MSR) India, where I worked closely with Nishanth Chandran, Divya Gupta, Rahul Sharma and Aseem Rastogi on the EzPC project. I did my B.Tech. from the Indian Institute of Technology (Banaras Hindu University) Varanasi. During my undergrad, I worked with Alexander Chepurnoy, Prof. Takeshi Koshiba, Keisuke Tanaka and Mario Larangeira.




Talks

  • ELSA: Secure Aggregation for Federated Learning with Malicious Actors
  • Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
  • CrypTFlow: Secure TensorFlow Inference

Publications

2024
  1. Private Analytics via Streaming, Sketching, and Silently Verifiable Proofs
    Mayank Rathee, Yuwen Zhang, Henry Corrigan-Gibbs, and Raluca Ada Popa
    In IEEE Symposium on Security and Privacy 2024
    PDF
2023
  1. ELSA: Secure Aggregation for Federated Learning with Malicious Actors
    Mayank Rathee, Conghao Shen, Sameer Wagh, and Raluca Ada Popa
    In IEEE Symposium on Security and Privacy 2023
    PDF
2022
  1. Waldo: A Private Time-Series Database from Function Secret Sharing
    Emma Dauterman, Mayank Rathee, Raluca Ada Popa, and Ion Stoica
    In IEEE Symposium on Security and Privacy 2022
    PDF Code
2021
  1. SIRNN: A Math Library for Secure RNN Inference
    Deevashwer Rathee*, Mayank Rathee*, Rahul Kranti Kiran Goli, Divya Gupta, Rahul Sharma, Nishanth Chandran, and Aseem Rastogi
    In IEEE Symposium on Security and Privacy 2021
    PDF Code
  2. Function Secret Sharing for Mixed-Mode and Fixed-Point Secure Computation
    Elette Boyle, Nishanth Chandran, Niv Gilboa, Divya Gupta, Yuval Ishai, Nishant Kumar, and Mayank Rathee
    In EUROCRYPT 2021
    PDF
2020
  1. Secure Medical Image Analysis with CrypTFlow
    Javier Alvarez-Valle, Pratik Bhatu, Nishanth Chandran, Divya Gupta, Aditya Nori, Aseem Rastogi, Mayank Rathee, Rahul Sharma, and Shubham Ugare
    In PPML@NeurIPS 2020
    PDF
  2. CrypTFlow2: Practical 2-Party Secure Inference
    Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, and Rahul Sharma
    In CCS 2020
    PDF Code
  3. CrypTFlow: Secure TensorFlow Inference
    Nishant Kumar*, Mayank Rathee*, Nishanth Chandran, Divya Gupta, Aseem Rastogi, and Rahul Sharma
    In IEEE Symposium on Security and Privacy 2020
    PDF Code Video
2019
  1. Efficient private database queries using ring-LWE somewhat homomorphic encryption
    Tushar Kanti Saha, Mayank Rathee, and Takeshi Koshiba
    J. Inf. Secur. Appl. 2019
2018
  1. Checking laws of the blockchain with property-based testing
    Alexander Chepurnoy, and Mayank Rathee
    In IWBOSE@SANER 2018
    Code Slides
2017
  1. Efficient Protocols for Private Database Queries
    Tushar Kanti Saha, Mayank Rathee, and Takeshi Koshiba
    In DBSec 2017
  2. Private Comparison Protocol and Its Application to Range Queries
    Tushar Kanti Saha, Mayank Rathee, Deevashwer, and Takeshi Koshiba
    In IDCS 2017