CryptoNN: Training Neural Networks over Encrypted Data
Authors: Runhua Xu, James B. D. Joshi, Chao Li | Published: 2019-04-15 | Updated: 2019-04-26
Privacy Protection Method
TG-PSM: Tunable Greedy Packet Sequence Morphing Based on Trace Clustering
Authors: Farzam Fanitabasi | Published: 2019-04-01
AutoGAN-based Dimension Reduction for Privacy Preservation
Authors: Hung Nguyen, Di Zhuang, Pei-Yuan Wu, Morris Chang | Published: 2019-02-27 | Updated: 2021-07-27
Privacy Preserving Location Data Publishing: A Machine Learning Approach
Authors: Sina Shaham, Ming Ding, Bo Liu, Shuping Dang, Zihuai Lin, Jun Li | Published: 2019-02-24 | Updated: 2019-11-05
Achieving Data Utility-Privacy Tradeoff in Internet of Medical Things: A Machine Learning Approach
Authors: Zhitao Guan, Zefang Lv, Xiaojiang Du, Longfei Wu, Mohsen Guizani | Published: 2019-02-08
Privacy Preserving Analytics on Distributed Medical Data
Authors: Marina Blanton, Ah Reum Kang, Subhadeep Karan, Jaroslaw Zola | Published: 2018-06-18
Data Synthesis based on Generative Adversarial Networks
Authors: Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim | Published: 2018-06-09 | Updated: 2018-07-02
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Authors: Florian Tramèr, Dan Boneh | Published: 2018-06-08 | Updated: 2019-02-27
Blind Justice: Fairness with Encrypted Sensitive Attributes
Authors: Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller | Published: 2018-06-08
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Authors: Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu | Published: 2018-06-06