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Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

18 October 2016

Papers citing "Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data"

50 / 353 papers shown

Title
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud Ji Wang Jianguo Zhang Weidong Bao Xiaomin Zhu Bokai Cao Philip S. Yu 64 196 0 10 Sep 2018
Privacy-Preserving Deep Learning via Weight Transmission L. T. Phong T. Phuong FedML 69 87 0 10 Sep 2018
Privacy-preserving Neural Representations of Text Maximin Coavoux Shashi Narayan Shay B. Cohen AAML 69 118 0 28 Aug 2018
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 92 177 0 20 Aug 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 147 79 0 31 Jul 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 81 477 0 16 Jul 2018
Differentially-Private "Draw and Discard" Machine Learning Vasyl Pihur Aleksandra Korolova Frederick Liu Subhash Sankuratripati M. Yung Dachuan Huang Ruogu Zeng FedML 98 39 0 11 Jul 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 158 1,945 0 02 Jul 2018
Towards Robust Evaluations of Continual Learning Sebastian Farquhar Y. Gal CLL 93 308 0 24 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning Tribhuvanesh Orekondy Seong Joon Oh Yang Zhang Bernt Schiele Mario Fritz PICV FedML 438 37 0 15 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 189 1,490 0 10 May 2018
An Efficient Privacy-Preserving Algorithm based on Randomized Response in IoT-based Smart Grid Huirui Cao Shubo Liu Zhitao Guan Longfei Wu Haonan Deng Xiaojiang Du 34 10 0 09 Apr 2018
Privacy-preserving Prediction Cynthia Dwork Vitaly Feldman 82 91 0 27 Mar 2018
Privacy Preserving Machine Learning: Threats and Solutions Mohammad Al-Rubaie Jerome Chang 88 338 0 27 Mar 2018
Chiron: Privacy-preserving Machine Learning as a Service T. Hunt Congzheng Song Reza Shokri Vitaly Shmatikov Emmett Witchel 58 201 0 15 Mar 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 70 49 0 08 Mar 2018
AntShield: On-Device Detection of Personal Information Exposure A. Shuba Evita Bakopoulou Milad Asgari Mehrabadi Hieu Le David Choffnes A. Markopoulou 61 15 0 03 Mar 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 149 618 0 24 Feb 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 100 502 0 19 Feb 2018
Deep Private-Feature Extraction S. A. Ossia A. Taheri Ali Shahin Shamsabadi Kleomenis Katevas Hamed Haddadi Hamid R. Rabiee 63 96 0 09 Feb 2018
Generating Neural Networks with Neural Networks Lior Deutsch 105 21 0 06 Jan 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 76 38 0 25 Dec 2017
A Survey on Dialogue Systems: Recent Advances and New Frontiers Hongshen Chen Xiaorui Liu D. Yin Jiliang Tang VLM LLMAG 102 705 0 06 Nov 2017
User-centric Composable Services: A New Generation of Personal Data Analytics Jianxin R. Zhao Richard Mortier Jon Crowcroft Liang Wang FedML 32 1 0 25 Oct 2017
Learning Differentially Private Recurrent Language Models H. B. McMahan Daniel Ramage Kunal Talwar Li Zhang FedML 101 126 0 18 Oct 2017
Differentially Private Mixture of Generative Neural Networks G. Ács Luca Melis C. Castelluccia Emiliano De Cristofaro SyDa 85 122 0 13 Sep 2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records Zhengping Che Yu Cheng Shuangfei Zhai Zhaonan Sun Yan Liu OOD 72 161 0 06 Sep 2017
On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches Martín Abadi Ulfar Erlingsson Ian Goodfellow H. B. McMahan Ilya Mironov Nicolas Papernot Kunal Talwar Li Zhang 55 47 0 26 Aug 2017
Locally Differentially Private Heavy Hitter Identification Tianhao Wang Ninghui Li S. Jha 90 119 0 22 Aug 2017
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking Mostafa Dehghani H. Azarbonyad J. Kamps Maarten de Rijke FedML 46 9 0 24 Jul 2017
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch GAN SyDa MedIm 127 797 0 08 Jun 2017
Continual Learning in Generative Adversarial Nets Ari Seff Alex Beatson Daniel Suo Han Liu GAN 82 133 0 23 May 2017
LOGAN: Membership Inference Attacks Against Generative Models Jamie Hayes Luca Melis G. Danezis Emiliano De Cristofaro 115 104 0 22 May 2017
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model Brendan Avent Aleksandra Korolova David Zeber Torgeir Hovden B. Livshits FedML 98 100 0 02 May 2017
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics Seyed Ali Osia Ali Shahin Shamsabadi Sina Sajadmanesh A. Taheri Kleomenis Katevas Hamid R. Rabiee Nicholas D. Lane Hamed Haddadi 66 236 0 08 Mar 2017
Privacy-Preserving Personal Model Training S. S. Rodríguez Liang Wang Jianxin R. Zhao Richard Mortier Hamed Haddadi 61 23 0 01 Mar 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 106 185 0 25 Feb 2017
Renyi Differential Privacy Ilya Mironov 93 1,270 0 24 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 346 1,550 0 25 Jan 2017
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 99 474 0 11 Nov 2016
Missing Data Imputation for Supervised Learning Jason Poulos Rafael Valle 72 63 0 28 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 239 6,199 0 01 Jul 2016
Smart Reply: Automated Response Suggestion for Email Anjuli Kannan Karol Kurach Sujith Ravi Tobias Kaufmann Andrew Tomkins ... G. Corrado László Lukács Marina Ganea Peter Young Vivek Ramavajjala VLM 69 311 0 15 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 648 9,091 0 10 Jun 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 97 840 0 06 May 2016
Concentrated Differential Privacy Cynthia Dwork G. Rothblum 82 453 0 06 Mar 2016
Learning Privately from Multiparty Data Jihun Hamm Yingjun Cao M. Belkin FedML 62 165 0 10 Feb 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 369 19,822 0 09 Mar 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 147 2,012 0 25 Jul 2014
Learning Privately with Labeled and Unlabeled Examples A. Beimel Kobbi Nissim Uri Stemmer 117 23 0 10 Jul 2014