2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation. - Jay Patravali; Shubham Jain 006; Sasank Chilamkurthy (STACOM@MICCAI, 2017)

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? - Olivier Bernard 001; Alain Lalande; Clément Zotti; Frederic Cervenansky; Xin Yang 009; Pheng-Ann Heng; Irem Cetin; Karim Lekadir; Oscar Camara 001; Miguel Ángel González Ballester; Gerard Sanroma; Sandy Napel; et al. (IEEE Trans. Medical Imaging, 2018)

OPAL: High performance platform for large-scale privacy-preserving location data analytics. - Axel Oehmichen; Shubham Jain 006; Andrea Gadotti; Yves-Alexandre de Montjoye (IEEE BigData, 2019)

UNVEIL: Capture and Visualise WiFi Data Leakages. - Shubham Jain 006; Eden Bensaid; Yves-Alexandre de Montjoye (WWW, 2019)

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. - Shubham Jain 006; Ana-Maria Cretu 002; Yves-Alexandre de Montjoye (USENIX Security Symposium, 2022)

Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. - Shubham Jain 006; Ana-Maria Cretu 002; Antoine Cully; Yves-Alexandre de Montjoye (SP, 2023)

Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. - Matthieu Meeus; Shubham Jain 006; Marek Rei; Yves-Alexandre de Montjoye (USENIX Security Symposium, 2024)

Inherent Challenges of Post-Hoc Membership Inference for Large Language Models. - Matthieu Meeus; Shubham Jain 006; Marek Rei; Yves-Alexandre de Montjoye (CoRR, 2024)

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It). - Matthieu Meeus; Igor Shilov; Shubham Jain 006; Manuel Faysse; Marek Rei; Yves-Alexandre de Montjoye (SaTML, 2025)