The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

17 November 2019

Papers citing "The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks"

21 / 71 papers shown

Title
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 17 71 0 04 Jul 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang Qi Liu Zhenya Huang Hao Wang Chengqiang Lu Chuanren Liu Enhong Chen 17 68 0 05 Jun 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 19 33 0 27 Apr 2021
Exploiting Explanations for Model Inversion Attacks Xu Zhao Wencan Zhang Xiao Xiao Brian Y. Lim MIACV 21 82 0 26 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 459 0 15 Apr 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 31 42 0 29 Mar 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation Boxin Wang Fan Wu Yunhui Long Luka Rimanic Ce Zhang Bo-wen Li FedML 29 63 0 20 Mar 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 18 147 0 04 Dec 2020
Feature Inference Attack on Model Predictions in Vertical Federated Learning Xinjian Luo Yuncheng Wu Xiaokui Xiao Beng Chin Ooi FedML AAML 11 218 0 20 Oct 2020
R-GAP: Recursive Gradient Attack on Privacy Junyi Zhu Matthew Blaschko FedML 6 132 0 15 Oct 2020
Knowledge-Enriched Distributional Model Inversion Attacks Si-An Chen Mostafa Kahla R. Jia Guo-Jun Qi 16 93 0 08 Oct 2020
Malicious Network Traffic Detection via Deep Learning: An Information Theoretic View Erick Galinkin AAML 13 0 0 16 Sep 2020
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization Tianhao Wang Yuheng Zhang R. Jia 19 74 0 11 Sep 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 23 237 0 30 Jul 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 13 59 0 22 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 27 213 0 15 Jul 2020
ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing T. Ryffel Pierre Tholoniat D. Pointcheval Francis R. Bach FedML 12 94 0 08 Jun 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 18 146 0 06 May 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 62 25 0 27 Apr 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 104 130 0 07 Feb 2020
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators Yunhui Long Boxin Wang Zhuolin Yang B. Kailkhura Aston Zhang C.A. Gunter Bo-wen Li 14 72 0 21 Jun 2019