Igor Shilov

19 papers A* 4Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs.
CoRR
Alexander Panfilov, Peter Romov, Igor Shilov, Yves-Alexandre de Montjoye, Jonas Geiping, Maksym Andriushchenko
2025 J jnl
Beyond Data Filtering: Knowledge Localization for Capability Removal in LLMs.
CoRR
Igor Shilov, Alex Cloud, Aryo Pradipta Gema, Jacob Goldman-Wetzler, Nina Panickssery, Henry Sleight, Erik Jones, Cem Anil
2025 A* conf
Certification for Differentially Private Prediction in Gradient-Based Training.
ICML
Matthew Wicker, Philip Sosnin, Igor Shilov, Adrianna Janik, Mark Niklas Müller, Yves-Alexandre de Montjoye, Adrian Weller, Calvin Tsay
2025 J jnl
Counterfactual Influence as a Distributional Quantity.
CoRR
Matthieu Meeus, Igor Shilov, Georgios Kaissis, Yves-Alexandre de Montjoye
2025 A* conf
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods.
USENIX Security Symposium
Joseph Pollock, Igor Shilov, Euodia Dodd, Yves-Alexandre de Montjoye
2025 J jnl
RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories.
CoRR
Roy Rinberg, Usha Bhalla, Igor Shilov, Flávio P. Calmon, Rohit Gandikota
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
2025 J jnl
Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models.
CoRR
Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Katherine Lee, Milad Nasr, Sahra Ghalebikesabi, Niloofar Mireshghallah, Meenatchi Sundaram Mutu Selva Annamalai, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper
2025 J jnl
The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models.
CoRR
Euodia Dodd, Natasa Krco, Igor Shilov, Yves-Alexandre de Montjoye
2024 A* conf
Copyright Traps for Large Language Models.
ICML
Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye
2024 J jnl
Copyright Traps for Large Language Models.
CoRR
Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye
2024 J jnl
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods.
CoRR
Joseph Pollock, Igor Shilov, Euodia Dodd, Yves-Alexandre de Montjoye
2024 J jnl
Mosaic Memory: Fuzzy Duplication in Copyright Traps for Large Language Models.
CoRR
Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye
2024 J jnl
Sub-optimal Learning in Meta-Classifier Attacks: A Study of Membership Inference on Differentially Private Location Aggregates.
CoRR
Yuhan Liu, Florent Guépin, Igor Shilov, Yves-Alexandre de Montjoye
2024 J jnl
Watermarking Training Data of Music Generation Models.
CoRR
Pascal Epple, Igor Shilov, Bozhidar Stevanoski, Yves-Alexandre de Montjoye
2022 J jnl
Defending against Reconstruction Attacks with Rényi Differential Privacy.
CoRR
Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles
2021 A* conf
Antipodes of Label Differential Privacy: PATE and ALIBI.
NeurIPS
Mani Malek Esmaeili, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr
2021 J jnl
Antipodes of Label Differential Privacy: PATE and ALIBI.
CoRR
Mani Malek, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr
2021 J jnl
Opacus: User-Friendly Differential Privacy Library in PyTorch.
CoRR
Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov