Context-Aware Generative Adversarial Privacy

Context-Aware Generative Adversarial Privacy

26 October 2017

Papers citing "Context-Aware Generative Adversarial Privacy"

18 / 18 papers shown

Title
Enabling Privacy-Aware AI-Based Ergonomic Analysis Sander De Coninck Emilio Gamba Bart Van Doninck Abdellatif Bey-Temsamani Sam Leroux Pieter Simoens 32 0 0 12 May 2025
SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models Jiang Zhang Rohan Sequeira Konstantinos Psounis SyDa 78 0 0 05 Mar 2025
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4 Bishwas Mandal G. Amariucai Shuangqing Wei 33 1 0 07 Apr 2024
RecUP-FL: Reconciling Utility and Privacy in Federated Learning via User-configurable Privacy Defense Yue-li Cui Syed Imran Ali Meerza Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu AAML FedML 31 4 0 11 Apr 2023
On the causality-preservation capabilities of generative modelling Yves-Cédric Bauwelinckx Jan Dhaene Tim Verdonck Milan van den Heuvel CML AI4CE 38 0 0 03 Jan 2023
A Utility-Preserving Obfuscation Approach for YouTube Recommendations Jiang Zhang Hadi Askari Konstantinos Psounis Zubair Shafiq 30 5 0 14 Oct 2022
Unsupervised Information Obfuscation for Split Inference of Neural Networks Mohammad Samragh H. Hosseini Aleksei Triastcyn K. Azarian Joseph B. Soriaga F. Koushanfar 22 11 0 23 Apr 2021
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
Reducing Risk of Model Inversion Using Privacy-Guided Training Abigail Goldsteen Gilad Ezov Ariel Farkash 19 4 0 29 Jun 2020
Adversarial representation learning for private speech generation David Ericsson Adam Östberg Edvin Listo Zec John Martinsson Olof Mogren 27 16 0 16 Jun 2020
Privacy Adversarial Network: Representation Learning for Mobile Data Privacy Sicong Liu Junzhao Du Anshumali Shrivastava Lin Zhong 44 14 0 08 Jun 2020
Locally Differentially-Private Randomized Response for Discrete Distribution Learning A. Pastore Michael C. Gastpar FedML 14 10 0 29 Nov 2018
Understanding Compressive Adversarial Privacy Xiao Chen Peter Kairouz Ram Rajagopal 12 11 0 21 Sep 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 21 48 0 08 Mar 2018
Protecting Sensory Data against Sensitive Inferences Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 23 166 0 21 Feb 2018
Privacy with Estimation Guarantees Haozhao Wang Lisa Vo Flavio du Pin Calmon Muriel Médard K. Duffy Mayank Varia 14 45 0 02 Oct 2017
On Maximal Correlation, Mutual Information and Data Privacy S. Asoodeh F. Alajaji Tamás Linder 26 48 0 08 Oct 2015
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 100 345 0 08 Oct 2012