Satwik Kundu

W209 Westgate Building

University Park, PA

Hi! I am Satwik, currently a fourth-year Ph.D. student in Computer Science and Engineering at Penn State, specializing in the evolving fields of quantum computing and machine learning. I am advised by Dr. Swaroop Ghosh. My research focuses on developing frameworks to enhance the security of quantum neural networks (QNNs) against adversarial threats, improving the efficiency of variational quantum algorithms (VQAs), and exploring the intersection of quantum computing and hardware security.

Before joining Penn State, I received my bachelor’s degree from Jadavpur University in 2021. Throughout my academic journey, I have worked on various projects, from creating facial expression recognition models to addressing microarchitectural security challenges in Docker containers.

News

Jan 2025	Invited to serve as a reviewer for IEEE Computer Architecture Letters (CAL).
Nov 2024	Our latest work entitled `Adversarial Poisoning Attack on Quantum Machine Learning Models` is on arXiv!
Nov 2024	`STIQ` has been accepted at HOST 2025!
Oct 2024	I gave a talk on `Security of Quantum Machine Learning` at QCCS 2024.
Sep 2024	Our paper entitled `Security Concerns in Quantum Machine Learning as a Service` has been accepted at HASP 2024!
May 2024	Our latest work entitled `STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud` is on arXiv!
Apr 2024	I passed my Ph.D. Comprehensive Exam!
Apr 2024	Our paper entitled `Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks` has been accepted for poster presentation at GLSVLSI 2024!
Mar 2024	We received `$70,000` worth of Quantum credits from IBM for my research works!

Recent publications

HOST

STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud

Satwik Kundu, and Swaroop Ghosh

International Symposium on Hardware Oriented Security and Trust (HOST), 2025

arXiv Bib

@article{kundu2024stiq,
  title = {STIQ: Safeguarding Training and Inferencing of Quantum Neural Networks from Untrusted Cloud},
  author = {Kundu, Satwik and Ghosh, Swaroop},
  journal = {International Symposium on Hardware Oriented Security and Trust (HOST)},
  year = {2025},
}

HASP

Security Concerns in Quantum Machine Learning as a Service

Satwik Kundu, and Swaroop Ghosh

Hardware and Architectural Support for Security and Privacy (HASP), 2024

URL arXiv Bib

@article{kundu2024security,
  title = {Security Concerns in Quantum Machine Learning as a Service},
  author = {Kundu, Satwik and Ghosh, Swaroop},
  journal = {Hardware and Architectural Support for Security and Privacy (HASP)},
  year = {2024},
  url = {https://dl.acm.org/doi/10.1145/3696843.3696846},
}

GLSVLSI

Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks

Satwik Kundu, Debarshi Kundu, and Swaroop Ghosh

In Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI), 2024

URL arXiv Bib

@inproceedings{kundu2024evaluating,
  title = {Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks},
  author = {Kundu, Satwik and Kundu, Debarshi and Ghosh, Swaroop},
  booktitle = {Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI)},
  pages = {556--559},
  year = {2024},
  url = {https://dl.acm.org/doi/abs/10.1145/3649476.3658806},
}

ASP-DAC

Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis

Mahabubul Alam, Satwik Kundu, and Swaroop Ghosh

In Asia and South Pacific Design Automation Conference (ASP-DAC), 2023

URL Bib

@inproceedings{alam2023knowledge,
  title = {Knowledge Distillation in Quantum Neural Network Using Approximate Synthesis},
  author = {Alam, Mahabubul and Kundu, Satwik and Ghosh, Swaroop},
  booktitle = {Asia and South Pacific Design Automation Conference (ASP-DAC)},
  pages = {639--644},
  year = {2023},
  url = {https://dl.acm.org/doi/abs/10.1145/3566097.3567877},
}