Shubham Jain

12 papers A* 4Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).
SaTML
Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye
2024 A* conf
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
USENIX Security Symposium
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
2024 J jnl
Inherent Challenges of Post-Hoc Membership Inference for Large Language Models.
CoRR
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
2023 A* conf
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.
SP
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
2023 J jnl
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition.
CoRR
Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye
2023 J jnl
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
CoRR
Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye
2022 A* conf
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.
USENIX Security Symposium
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2021 J jnl
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning.
CoRR
Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye
2019 — conf
OPAL: High performance platform for large-scale privacy-preserving location data analytics.
IEEE BigData
Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye
2019 A* conf
UNVEIL: Capture and Visualise WiFi Data Leakages.
WWW
Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye
2018 J jnl
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging
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
2017 — conf
2D-3D Fully Convolutional Neural Networks for Cardiac MR Segmentation.
STACOM@MICCAI
Jay Patravali, Shubham Jain, Sasank Chilamkurthy