White-box vs Black-box: Bayes Optimal Strategies for Membership Inference

29 August 2019

Alexandre Sablayrolles

Papers citing "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"

20 / 70 papers shown

Title
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 13 32 0 13 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 19 71 0 04 Jul 2021
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 22 46 0 21 Jun 2021
A Review of Confidentiality Threats Against Embedded Neural Network Models Raphael Joud Pierre-Alain Moëllic Rémi Bernhard J. Rigaud 28 6 0 04 May 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 30 412 0 14 Mar 2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models Benjamin Zi Hao Zhao Aviral Agrawal Catisha Coburn H. Asghar Raghav Bhaskar M. Kâafar Darren Webb Peter Dickinson MIACV 29 38 0 12 Mar 2021
Membership Inference Attacks are Easier on Difficult Problems Avital Shafran Shmuel Peleg Yedid Hoshen MIACV 14 16 0 15 Feb 2021
Differentially Private Federated Learning for Cancer Prediction C. Béguier Jean Ogier du Terrail I. Meah M. Andreux Eric W. Tramel FedML 19 19 0 08 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 30 119 0 05 Jan 2021
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective Jingwei Sun Ang Li Binghui Wang Huanrui Yang Hai Li Yiran Chen FedML 19 163 0 08 Dec 2020
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 33 109 0 07 Nov 2020
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models Yixi Xu S. Mukherjee Xiyang Liu Shruti Tople Rahul Dodhia J. L. Ferres MIACV 19 11 0 11 Sep 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 23 237 0 30 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 30 213 0 15 Jul 2020
The Trade-Offs of Private Prediction L. V. D. van der Maaten Awni Y. Hannun 17 22 0 09 Jul 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 16 260 0 31 Mar 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 107 130 0 07 Feb 2020
Radioactive data: tracing through training Alexandre Sablayrolles Matthijs Douze Cordelia Schmid Hervé Jégou 33 74 0 03 Feb 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 31 121 0 04 Jun 2019
Disparate Vulnerability to Membership Inference Attacks B. Kulynych Mohammad Yaghini Giovanni Cherubin Michael Veale Carmela Troncoso 13 39 0 02 Jun 2019