Membership Inference Attacks against Synthetic Data through Overfitting Detection

24 February 2023

Papers citing "Membership Inference Attacks against Synthetic Data through Overfitting Detection"

31 / 31 papers shown

Title
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data Zexi Yao Natasa Krco Georgi Ganev Yves-Alexandre de Montjoye 72 0 0 02 May 2025
TAMIS: Tailored Membership Inference Attacks on Synthetic Data Paul Andrey B. L. Bars Marc Tommasi 43 0 0 01 Apr 2025
The Data Sharing Paradox of Synthetic Data in Healthcare Jim Achterberg Bram van Dijk Saif ul Islam Hafiz Muhammad Waseem Parisis Gallos Gregory Epiphaniou Carsten Maple Marcel Haas M. Spruit 48 0 0 26 Mar 2025
Efficient Membership Inference Attacks by Bayesian Neural Network Zhenlong Liu Wenyu Jiang Feng Zhou Hongxin Wei MIALM 66 1 0 10 Mar 2025
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data Huawei Lin Jun Woo Chung Yingjie Lao Weijie Zhao 46 0 0 03 Feb 2025
Generating Synthetic Electronic Health Record (EHR) Data: A Review with Benchmarking Xingran Chen Zhenke Wu Xu Shi Hyunghoon Cho Bhramar Mukherjee SyDa 26 1 0 06 Nov 2024
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 19 3 0 07 Oct 2024
VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data Xun Yuan Zilong Zhao P. Gope Biplab Sikdar AI4TS 20 1 0 05 Sep 2024
LaTable: Towards Large Tabular Models B. V. Breugel Jonathan Crabbé Rob Davis Mihaela van der Schaar LMTD 29 4 0 25 Jun 2024
Synthetic Data Outliers: Navigating Identity Disclosure Carolina Trindade Luís Antunes Tânia Carvalho Nuno Moniz 28 1 0 04 Jun 2024
Why Tabular Foundation Models Should Be a Research Priority B. V. Breugel M. Schaar LMTD VLM AI4CE 34 33 0 02 May 2024
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication Xun Yuan Yang Yang P. Gope A. Pasikhani Biplab Sikdar 21 2 0 15 Apr 2024
Faraday: Synthetic Smart Meter Generator for the smart grid Sheng Chai Gus Chadney 16 4 0 05 Apr 2024
High Epsilon Synthetic Data Vulnerabilities in MST and PrivBayes Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 11 1 0 09 Feb 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu Lei Feng Huiping Zhuang Xiaofeng Cao Hongxin Wei 16 2 0 08 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 67 0 0 06 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 19 3 0 22 Jan 2024
Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data Tobias Hyrup A. Lautrup Arthur Zimek Peter Schneider-Kamp 33 2 0 19 Dec 2023
Membership Inference Attacks on Diffusion Models via Quantile Regression Shuai Tang Zhiwei Steven Wu Sergul Aydore Michael Kearns Aaron Roth 18 14 0 08 Dec 2023
Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions Alexander Boudewijn Andrea Filippo Ferraris D. Panfilo Vanessa Cocca Sabrina Zinutti Karel De Schepper Carlo Rossi Chauvenet 32 2 0 29 Nov 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting Samuel Maddock Graham Cormode Carsten Maple 29 4 0 05 Oct 2023
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review Katariina Perkonoja Kari Auranen Joni Virta SyDa 10 3 0 21 Sep 2023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models Wenjie Fu Huandong Wang Chen Gao Guanghua Liu Yong Li Tao Jiang DiffM 18 11 0 23 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 26 22 0 20 Jul 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond Chuan Chen Zhenpeng Wu Yan-Hao Lai Wen-chao Ou Tianchi Liao Zibin Zheng 22 32 0 01 Jun 2023
Synthetic data, real errors: how (not) to publish and use synthetic data B. V. Breugel Zhaozhi Qian M. Schaar SyDa 57 28 0 16 May 2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs Brian M. Belgodere Pierre L. Dognin Adam Ivankay Igor Melnyk Youssef Mroueh ... Mattia Rigotti Jerret Ross Yair Schiff Radhika Vedpathak Richard A. Young 24 12 0 21 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 17 26 0 07 Apr 2023
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control Tânia Carvalho Nuno Moniz Luís Antunes Nitesh V. Chawla 11 3 0 01 Dec 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 40 186 0 17 Feb 2021
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 65 389 0 20 Oct 2016