Revisiting Secure Computation Using Functional Encryption: Opportunities and Research Directions
Authors: Runhua Xu, James Joshi | Published: 2020-11-12 | Updated: 2020-12-07
プライバシー保護手法
Federated Transfer Learning: concept and applications
Authors: Sudipan Saha, Tahir Ahmad | Published: 2020-09-26 | Updated: 2021-03-06
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Authors: Chandra Thapa, Seyit Camtepe | Published: 2020-08-24
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Authors: Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan | Published: 2020-08-11
PrivEdge: From Local to Distributed Private Training and Prediction
Authors: Ali Shahin Shamsabadi, Adria Gascon, Hamed Haddadi, Andrea Cavallaro | Published: 2020-04-12
PrivFL: Practical Privacy-preserving Federated Regressions on High-dimensional Data over Mobile Networks
Authors: Kalikinkar Mandal, Guang Gong | Published: 2020-04-05
Information Leakage in Embedding Models
Authors: Congzheng Song, Ananth Raghunathan | Published: 2020-03-31 | Updated: 2020-08-19
Differentially Private Naive Bayes Classifier using Smooth Sensitivity
Authors: Farzad Zafarani, Chris Clifton | Published: 2020-03-31 | Updated: 2021-07-19
Systematic Evaluation of Privacy Risks of Machine Learning Models
Authors: Liwei Song, Prateek Mittal | Published: 2020-03-24 | Updated: 2020-12-09
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks
Authors: Claude Rosin Ngueveu, Antoine Boutet, Carole Frindel, Sébastien Gambs, Théo Jourdan, Claude Rosin | Published: 2020-03-23 | Updated: 2020-10-08