Deep Learning with Differential Privacy

1 July 2016

Papers citing "Deep Learning with Differential Privacy"

50 / 1,254 papers shown

Title
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 31 171 0 20 Aug 2018
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu Wang Borja Balle S. Kasiviswanathan 30 397 0 31 Jul 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 39 153 0 22 Jul 2018
Differentially-Private "Draw and Discard" Machine Learning Vasyl Pihur Aleksandra Korolova Frederick Liu Subhash Sankuratripati M. Yung Dachuan Huang Ruogu Zeng FedML 38 39 0 11 Jul 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 23 79 0 05 Jul 2018
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences Borja Balle Gilles Barthe Marco Gaboardi 46 381 0 04 Jul 2018
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information John C. Duchi Feng Ruan 38 50 0 14 Jun 2018
cpSGD: Communication-efficient and differentially-private distributed SGD Naman Agarwal A. Suresh Felix X. Yu Sanjiv Kumar H. B. McMahan FedML 33 489 0 27 May 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising Borja Balle Yu Wang MLT 29 393 0 16 May 2018
Towards Robust and Privacy-preserving Text Representations Yitong Li Timothy Baldwin Trevor Cohn 22 165 0 16 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 364 37 0 15 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 98 1,458 0 10 May 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 68 1,308 0 12 Mar 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 26 48 0 08 Mar 2018
Learning Anonymized Representations with Adversarial Neural Networks Clément Feutry Pablo Piantanida Yoshua Bengio Pierre Duhamel 33 59 0 26 Feb 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 64 608 0 24 Feb 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 94 1,123 0 22 Feb 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 59 492 0 19 Feb 2018
Differentially Private Empirical Risk Minimization Revisited: Faster and More General Di Wang Minwei Ye Jinhui Xu 46 268 0 14 Feb 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Xiaofeng Wang Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 15 223 0 13 Feb 2018
Sometimes You Want to Go Where Everybody Knows your Name Reuben Brasher Nat Roth Justin Wagle 30 0 0 30 Jan 2018
Differentially Private Matrix Completion Revisited Prateek Jain Om Thakkar Abhradeep Thakurta FedML 35 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 35 145 0 26 Dec 2017
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 48 38 0 25 Dec 2017
Differentially Private Federated Learning: A Client Level Perspective Robin C. Geyer T. Klein Moin Nabi FedML 62 1,283 0 20 Dec 2017
Learning Differentially Private Recurrent Language Models H. B. McMahan Daniel Ramage Kunal Talwar Li Zhang FedML 35 125 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 36 508 0 22 Sep 2017
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning Nhathai Phan Xintao Wu Han Hu Dejing Dou 56 187 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 72 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 30 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 71 777 0 08 Jun 2017
Pain-Free Random Differential Privacy with Sensitivity Sampling Benjamin I. P. Rubinstein Francesco Aldà 7 42 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
LOGAN: Membership Inference Attacks Against Generative Models Jamie Hayes Luca Melis G. Danezis Emiliano De Cristofaro 50 104 0 22 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 47 11 0 27 Mar 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 77 1,383 0 24 Feb 2017
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications Changchang Liu Supriyo Chakraborty Prateek Mittal AAML 26 24 0 20 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 121 1,508 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 26 42 0 01 Nov 2016
Differentially Private Variational Inference for Non-conjugate Models Hibiki Ito O. Dikmen Antti Honkela FedML 34 48 0 27 Oct 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 175 4,060 0 18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 36 1,009 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 78 1,880 0 08 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 88 2,342 0 21 Jun 2016