Shubham Jain

According to our database, Shubham Jain authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).

Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025

2024

Inherent Challenges of Post-Hoc Membership Inference for Large Language Models.

Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye

CoRR, 2024

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.

Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye

Proceedings of the 33rd USENIX Security Symposium, 2024

2023

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.

Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.

Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye

Proceedings of the 31st USENIX Security Symposium, 2022

2019

UNVEIL: Capture and Visualise WiFi Data Leakages.

Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye

Proceedings of the World Wide Web Conference, 2019

OPAL: High performance platform for large-scale privacy-preserving location data analytics.

Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin

IEEE Trans. Medical Imaging, 2018

2017

2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation.

Jay Patravali, Shubham Jain, Sasank Chilamkurthy

Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017