On the Importance of Architecture and Feature Selection in
Differentially Private Machine Learning

On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning

13 May 2022

Vincent Bindschaedler

Papers citing "On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning"

18 / 18 papers shown

Title
Plausible deniability for privacy-preserving data synthesis Song Mei Zhiqiang Ye 14 14 0 13 Dec 2022
Architecture Matters: Investigating the Influence of Differential Privacy on Neural Network Design Niklas Hasebrook T. Dehling Ali Sunyaev 24 5 0 29 Nov 2021
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy Anda Cheng Jiaxing Wang Xi Sheryl Zhang Qiang Chen Peisong Wang Jian Cheng 54 29 0 16 Oct 2021
Hyperparameter Tuning with Renyi Differential Privacy Nicolas Papernot Thomas Steinke 155 123 0 07 Oct 2021
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 172 179 0 28 Jul 2020
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising Milad Nasr Reza Shokri Amir Houmansadr 20 41 0 22 Jul 2020
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification Yingxue Zhou Zhiwei Steven Wu A. Banerjee 48 108 0 07 Jul 2020
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 62 50 0 20 Dec 2019
Differential Privacy Has Disparate Impact on Model Accuracy Eugene Bagdasaryan Vitaly Shmatikov 81 474 0 28 May 2019
Automatic Discovery of Privacy-Utility Pareto Fronts Brendan Avent Javier I. González Tom Diethe Andrei Paleyes Borja Balle FedML 31 28 0 26 May 2019
SGD: General Analysis and Improved Rates Robert Mansel Gower Nicolas Loizou Xun Qian Alibek Sailanbayev Egor Shulgin Peter Richtárik 59 378 0 27 Jan 2019
Three Tools for Practical Differential Privacy K. V. D. Veen Ruben Seggers Peter Bloem Giorgio Patrini 33 39 0 07 Dec 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 170 8,807 0 25 Aug 2017
Genetic CNN Lingxi Xie Alan Yuille 3DV 98 840 0 04 Mar 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 203 4,075 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 170 6,069 0 01 Jul 2016
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 93 1,482 0 01 Dec 2009
Differentially Private Combinatorial Optimization Anupam Gupta Katrina Ligett Frank McSherry Aaron Roth Kunal Talwar 62 229 0 26 Mar 2009