Shubham Jain

Email: s DOT jain AT

Shubham is a PhD student and Research Assistant in the Computational Privacy Group. His research interests include fairness in machine learning systems, scalable privacy-preserving systems, and network security. He is also contributing to the development and deployment of OPAL, a scalable system designed to use telecommunication data for social good in a privacy-preserving way.

Prior to joining CPG, Shubham was an AI Scientist and Founding member of, a startup based out of India developing AI algorithms for medical imaging. At, his primary focus was on developing interpretable deep neural networks, building classification and segmentation models for medical imaging, and developing end-to-end data engineering pipelines for data acquisition. Shubham completed his graduation in 2016 with B.Tech. (Hons.) in Computer Science from IIT Bombay, India.



  • Meeus, M., Jain, S., and de Montjoye Y. A. Concerns about using a digital mask to safeguard patient privacy. Matters Arising in Nature Medicine, July 2023 (2023).
  • Jain, S., Cretu, A.-M., Cully, A. and de Montjoye Y. A. Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. 2023 IEEE Symposium on Security and Privacy (SP) (2023).
    Selected Press: Imperial College London News
  • Jain, S.*, Cretu, A.-M.*, and de Montjoye Y. A. Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. 31st USENIX Security Symposium (2022).
    Selected Press: Imperial College London News
  • Oehmichen, A., Jain, S., Gadotti, A., & de Montjoye, Y. A. OPAL: High performance platform for large-scale privacy-preserving location data analytics. 2019 IEEE International Conference on Big Data (Big Data) (pp. 1332-1342) (2019).
  • Jain, S., Bensaid, E., & de Montjoye, Y. A. UNVEIL: Capture and Visualise WiFi Data Leakages. The World Wide Web Conference (pp. 3550-3554) (2019).