Evaluating Differentially Private Machine Learning in Practice

24 February 2019

Papers citing "Evaluating Differentially Private Machine Learning in Practice"

15 / 15 papers shown

Title
Support Vector Machines under Adversarial Label Contamination Huang Xiao Battista Biggio B. Nelson Han Xiao Claudia Eckert Fabio Roli AAML 53 231 0 01 Jun 2022
Differentially Private Model Publishing for Deep Learning Lei Yu Ling Liu C. Pu Mehmet Emre Gursoy Stacey Truex FedML 61 265 0 03 Apr 2019
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy Zonghao Huang Rui Hu Yuanxiong Guo Eric Chan-Tin Yanmin Gong FedML 49 195 0 30 Aug 2018
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures Mengjia Yan Christopher W. Fletcher Josep Torrellas MIACV FedML 61 247 0 14 Aug 2018
Efficient Deep Learning on Multi-Source Private Data Nicholas Hynes Raymond Cheng D. Song FedML 59 102 0 17 Jul 2018
Detecting Violations of Differential Privacy Zeyu Ding Yuxin Wang Guanhong Wang Qiang Yan Daniel Kifer 53 137 0 25 May 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 136 466 0 14 Feb 2018
Rényi Differential Privacy Mechanisms for Posterior Sampling J. Geumlek Shuang Song Kamalika Chaudhuri 43 57 0 02 Oct 2017
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil C. Lupu Fabio Roli AAML 99 632 0 29 Aug 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 246 4,122 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 107 1,805 0 09 Sep 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 203 6,121 0 01 Jul 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 94 1,992 0 25 Jul 2014
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers G. Ateniese G. Felici L. Mancini A. Spognardi Antonio Villani Domenico Vitali 75 460 0 19 Jun 2013
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 150 6,624 0 22 Dec 2012