MixNN: A design for protecting deep learning models

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MixNN: A design for protecting deep learning models

28 March 2022

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Papers citing "MixNN: A design for protecting deep learning models"

16 / 16 papers shown

Title
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 83 290 0 24 Nov 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 64 181 0 12 Apr 2020
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms Joohyung Jeon Junhui Kim Joongheon Kim Kwangsoo Kim Aziz Mohaisen Jong-Kook Kim FedML 46 25 0 09 Jan 2020
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 105 1,121 0 26 Nov 2019
Federated Machine Learning: Concept and Applications Qiang Yang Yang Liu Tianjian Chen Yongxin Tong FedML 78 2,322 0 13 Feb 2019
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 118 709 0 03 Dec 2018
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 47 198 0 25 Nov 2018
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures Mengjia Yan Christopher W. Fletcher Josep Torrellas MIACV FedML 61 249 0 14 Aug 2018
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security Hao Dong Chao Wu Zhen Wei Yike Guo 64 30 0 20 Nov 2017
DeepSecure: Scalable Provably-Secure Deep Learning B. Rouhani M. Riazi F. Koushanfar FedML 54 415 0 24 May 2017
The Loopix Anonymity System Ania M. Piotrowska Jamie Hayes T. Elahi Sebastian Meiser G. Danezis 43 181 0 01 Mar 2017
Atom: Horizontally Scaling Strong Anonymity Albert Kwon Henry Corrigan-Gibbs S. Devadas Bryan Ford 42 110 0 23 Dec 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 0 18 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 109 1,810 0 09 Sep 2016
Crypto-Nets: Neural Networks over Encrypted Data P. Xie Mikhail Bilenko Tom Finley Ran Gilad-Bachrach Kristin E. Lauter M. Naehrig FedML 104 150 0 18 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014