Debopam Sanyal

I am a PhD student in Computer Science [SCS] at Georgia Institute of Technology, where I specialize in machine learning and systems under the supervision of Prof. Alexey Tumanov. My current research interests are in:

  1. systems support for federated learning
  2. efficient and secure machine learning inference

I received my master's degree in Computer Science and my bachelor's degree in Computer Engineering, both from University of Illinois Urbana-Champaign, where I was advised by Prof. Sibin Mohan.

In the past, I spent two summers as a research intern in the Computational Research Division at Lawrence Berkeley National Laboratory. During my undergraduate studies, I spent two years as a part-time researcher at National Center for Supercomputing Applications.

Email: dsanyal7 [at] gatech [dot] edu
Office: KACB 3110

Resume  |  Google Scholar  |  LinkedIn  |  Twitter

profile photo

Publications / Manuscripts

  • Indistinguishability Prevents Scheduler Side Channels in Real-Time Systems.
    Chien-Ying Chen, Debopam Sanyal and Sibin Mohan.
    ACM Conference on Computer and Communications Security (CCS), 2021.

  • Feature Selection Metrics: Similarities, Differences, and Characteristics of the Selected Models.
    Debopam Sanyal, Nigel Bosch and Luc Paquette.
    International Conference on Educational Data Mining (EDM), 2020.
  • Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems.
    Debopam Sanyal, Jui-Tse Hung, Manav Agrawal, Prahlad Jasti, Shahab Nikkhoo, Somesh Jha, Tianhao Wang, Sibin Mohan and Alexey Tumanov.
    arXiv, 2023.
  • Attacking Schedule Indistinguishability in Real-Time Systems.
    Debopam Sanyal.
    Master's Thesis, Department of Computer Science, University of Illinois Urbana-Champaign, 2022.

  • Optimizing Networking Approaches using P4 Programming.
    Debopam Sanyal.
    Bachelor's Thesis, Department of Electrical & Computer Engineering, University of Illinois Urbana-Champaign, 2020.