Srishti Yadav

I am a research scholar at the Mehta Family School of Data Science and Artificial Intelligence, IIT Roorkee, under the supervision of Prof. R. Balasubramanian and Prof. Sanjeev Kumar. I am a recipient of the TCS Research Fellowship. I hold an M.Sc. in Mathematics from Banaras Hindu University, Varanasi, and a bachelor's degree from Dayalbagh Educational Institute, Agra.

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Srishti Yadav

Research Interest

My primary research interest is privacy preservation in Spiking Neural Networks. My broader research interests include Differential Privacy, Federated Learning, Machine Learning, Deep Learning, and Variational Autoencoders.

Research Profile

My research focuses on the security and privacy of machine learning systems, spanning differential privacy, membership inference attacks, adversarial robustness, and secure training methods. Much of this work centres on spiking neural networks, an emerging architecture where security and privacy challenges are still being actively investigated. My approach combines theoretical analysis, algorithm design, and empirical evaluation to develop trustworthy and privacy-preserving machine learning systems.

Publications

Abstract accepted for poster presentation at WiML @ NeurIPS 2026.

Latents at Risk: Membership Inference Attacks on Spiking Variational Autoencoders

Srishti Yadav, Balasubramanian Raman, Sanjeev Kumar
33rd International Conference on Neural Information Processing (ICONIP), 2026 · Accepted
23–27 November 2026 · Melbourne, Australia

Differentially Private Spiking Variational Autoencoder

Srishti Yadav, Anshul Pundhir, Tanish Goyal, Balasubramanian Raman, Sanjeev Kumar
International Conference on Pattern Recognition (ICPR), 2024
1- 5 December 2024 · Kolkata, India
Video

Unveiling Robustness of Spiking Neural Networks Against Data Poisoning Attacks

Srishti Yadav*, Anshul Pundhir*, Balasubramanian Raman, Sanjeev Kumar
International Joint Conference on Neural Networks (IJCNN), 2024
30 June–5 July 2024 · Yokohama, Japan
Video
* Equal contribution.

Education

Ph.D. in Data Science and Artificial Intelligence

Indian Institute of Technology Roorkee, Uttarakhand, India
July 2022–Present · CGPA: 9.0/10
Doctoral research: Security and Privacy in Spiking Neural Networks
Supervisors: Prof. Balasubramanian Raman and Prof. Sanjeev Kumar

Awards & Scholarships

  • TCS Research Fellowship, Cycle 18, July 2024 - Present.
  • MHRD Scholarship, July 2022–June 2024.
  • All India Rank 576 in GATE Mathematics, 2022.
  • All India Rank 1623 in GATE Mathematics, 2021.
  • All India Rank 97 (Lectureship) in Joint CSIR-UGC NET 2021.

References

Prof. R. Balasubramanian

Professor, Department of Computer Science and Engineering
Joint Faculty, Mehta Family School of Data Science and Artificial Intelligence
Indian Institute of Technology Roorkee, India
bala@cs.iitr.ac.in

Contact


Mehta Family School of Data Science and Artificial Intelligence
IIT Roorkee, Uttarakhand, India, 247667
srishti_y@mfs.iitr.ac.in

Template adapted from Dr. Jon Barron.