Deevashwer Rathee


I am an incoming CS PhD student at UC Berkeley.

Currently, I am a Research Fellow (RF) at Microsoft Research (MSR) India. At MSR, I work closely with Dr. Nishanth Chandran, Dr. Divya Gupta, Dr. Aseem Rastogi, and Dr. Rahul Sharma. Prior to joining MSR as an RF, I also interned here for 6 months.

I graduated from Indian Institute of Technology (BHU) Varanasi in 2020 with a Dual Degree (B.Tech. and M.Tech.) from the Department of Computer Science & Engineering. In the summer of 2019, I interned with Prof. Thomas Schneider at TU Darmstadt. Before that, I did an internship at Kyushu University with Prof. Masaya Yasuda and at Waseda University with Prof. Takeshi Koshiba.

Publications

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
    IEEE S&P 2021

2020

  1. CrypTFlow2: Practical 2-Party Secure Inference
    Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Nishanth Chandran, Divya Gupta, Aseem Rastogi, and Rahul Sharma
    ACM CCS 2020
  2. Linear-Complexity Private Function Evaluation is Practical
    Marco Holz, Ágnes Kiss, Deevashwer Rathee, and Thomas Schneider
    ESORICS 2020
  3. Secure Two-Party Computation in a Quantum World
    Niklas Büscher, Daniel Demmler, Nikolaos P. Karvelas, Stefan Katzenbeisser, Juliane Krämer, Deevashwer Rathee, Thomas Schneider, and Patrick Struck
    ACNS 2020
  4. Fast Secure Matrix Multiplications over Ring-Based Homomorphic Encryption
    Pradeep Kumar Mishra, Deevashwer Rathee, Dung Hoang Duong, and Masaya Yasuda
    Information Security Journal: A Global Perspective 2020
  5. Efficient Protocols for Private Wildcards Pattern Matching
    Tushar Kanti Saha, Deevashwer Rathee, and Takeshi Koshiba
    Journal of Information Security and Applications 2020

2019

  1. Improved Multiplication Triple Generation over Rings via RLWE-Based AHE
    Deevashwer Rathee, Thomas Schneider, and K. K. Shukla
    CANS 2019

2018

  1. Faster PCA and Linear Regression through Hypercubes in HElib
    Deevashwer Rathee, Pradeep Kumar Mishra, and Masaya Yasuda
    WPES@CCS 2018

2017

  1. Private Comparison Protocol and Its Application to Range Queries
    Tushar Kanti Saha,  Mayank,  Deevashwer, and Takeshi Koshiba
    IDCS 2017