Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

31 / 1,131 papers shown

Title
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 25 0 0 30 Jan 2018
Differentially Private Matrix Completion Revisited Prateek Jain Om Thakkar Abhradeep Thakurta FedML 26 34 0 28 Dec 2017
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors Gintare Karolina Dziugaite Daniel M. Roy MLT 30 144 0 26 Dec 2017
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 43 38 0 25 Dec 2017
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 57 1,281 0 20 Dec 2017
Learning Differentially Private Recurrent Language Models H. B. McMahan Daniel Ramage Kunal Talwar Li Zhang FedML 30 125 0 18 Oct 2017
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis Mohammad Malekzadeh R. Clegg Hamed Haddadi 16 72 0 18 Oct 2017
Machine Learning Models that Remember Too Much Congzheng Song Thomas Ristenpart Vitaly Shmatikov VLM 36 505 0 22 Sep 2017
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning Nhathai Phan Xintao Wu Han Hu Dejing Dou 33 187 0 18 Sep 2017
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 27 120 0 13 Sep 2017
PassGAN: A Deep Learning Approach for Password Guessing Briland Hitaj Paolo Gasti G. Ateniese Fernando Perez-Cruz GAN 30 246 0 01 Sep 2017
Per-instance Differential Privacy Yu Wang 31 5 0 24 Jul 2017
Composition Properties of Inferential Privacy for Time-Series Data Shuang Song Kamalika Chaudhuri 26 14 0 10 Jul 2017
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models G. Bernstein Ryan McKenna Tao Sun Daniel Sheldon Michael Hay G. Miklau FedML 16 25 0 14 Jun 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch GAN SyDa MedIm 66 772 0 08 Jun 2017
Continual Learning in Generative Adversarial Nets Ari Seff Alex Beatson Daniel Suo Han Liu GAN 19 132 0 23 May 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption Ryo Yonetani Vishnu Boddeti Kris Kitani Yoichi Sato PICV FedML 44 67 0 07 Apr 2017
Private Learning on Networks: Part II Shripad Gade Nitin H. Vaidya 22 11 0 27 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 58 1,380 0 24 Feb 2017
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications Changchang Liu Supriyo Chakraborty Prateek Mittal AAML 16 24 0 20 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,505 0 25 Jan 2017
Simple Black-Box Adversarial Perturbations for Deep Networks Nina Narodytska S. Kasiviswanathan AAML 27 237 0 19 Dec 2016
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 21 42 0 01 Nov 2016
Differentially Private Variational Inference for Non-conjugate Models Joonas Jälkö O. Dikmen Antti Honkela FedML 29 48 0 27 Oct 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 103 4,040 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 71 1,877 0 08 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 83 2,324 0 21 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 71 17,088 0 17 Feb 2016
Technical Privacy Metrics: a Systematic Survey Isabel Wagner D. Eckhoff 16 166 0 01 Dec 2015
Efficient Per-Example Gradient Computations Ian Goodfellow 186 75 0 07 Oct 2015
Learning Privately with Labeled and Unlabeled Examples A. Beimel Kobbi Nissim Uri Stemmer 40 23 0 10 Jul 2014