Shilov, Igor

5 publications

ICML 2025 Certification for Differentially Private Prediction in Gradient-Based Training Matthew Robert Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Mueller, Yves-Alexandre De Montjoye, Adrian Weller, Calvin Tsay

NeurIPS 2025 Exploring the Limits of Strong Membership Inference Attacks on Large Language Models Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Milad Nasr, Meenatchi Sundaram Muthu Selva Annamalai, Niloofar Mireshghallah, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Katherine Lee, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper

ICML 2024 Copyright Traps for Large Language Models Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre De Montjoye

NeurIPS 2021 Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Esmaeili, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramer

NeurIPSW 2021 Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov