Measuring Data Leakage in Machine-Learning Models with Fisher
Information

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Measuring Data Leakage in Machine-Learning Models with Fisher Information

23 February 2021

Laurens van der Maaten

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Papers citing "Measuring Data Leakage in Machine-Learning Models with Fisher Information"

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Title
Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis Ruijun Deng Zhihui Lu Qiang Duan FedML 194 0 0 14 Apr 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 113 2 0 20 Oct 2023
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 515 1,953 0 14 Dec 2020
Black-box Model Inversion Attribute Inference Attacks on Classification Models Shagufta Mehnaz Ninghui Li E. Bertino MIACV 52 13 0 07 Dec 2020
Modelling and Quantifying Membership Information Leakage in Machine Learning F. Farokhi M. Kâafar AAML FedML MIACV 108 24 0 29 Jan 2020
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos Basel Alomair 155 1,149 0 22 Feb 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Xiaofeng Wang Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 66 224 0 13 Feb 2018
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 57 85 0 25 Dec 2017
Renyi Differential Privacy Ilya Mironov 91 1,268 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 280 4,160 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 109 1,811 0 09 Sep 2016
Inferential Privacy Guarantees for Differentially Private Mechanisms Arpita Ghosh Robert D. Kleinberg 50 51 0 04 Mar 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 85 3,685 0 08 Feb 2016
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 164 1,490 0 01 Dec 2009
On the `Semantics' of Differential Privacy: A Bayesian Formulation S. Kasiviswanathan Adam D. Smith 126 167 0 27 Mar 2008

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