Differentially Private Naive Bayes Classifier using Smooth Sensitivity
Authors: Farzad Zafarani, Chris Clifton | Published: 2020-03-31 | Updated: 2021-07-19
Privacy Protection Method
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
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
Authors: Abhishek Jana, Bipin Paudel, Md Kamruzzaman Sarker, Monireh Ebrahimi, Pascal Hitzler, George T Amariucai | Published: 2020-03-18 | Updated: 2023-12-19
Deep Quaternion Features for Privacy Protection
Authors: Hao Zhang, Yiting Chen, Liyao Xiang, Haotian Ma, Jie Shi, Quanshi Zhang | Published: 2020-03-18 | Updated: 2020-06-21
Privacy-preserving Weighted Federated Learning within Oracle-Aided MPC Framework
Authors: Huafei Zhu, Zengxiang Li, Mervyn Cheah, Rick Siow Mong Goh | Published: 2020-03-17 | Updated: 2020-04-08
privGAN: Protecting GANs from membership inference attacks at low cost
Authors: Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres | Published: 2019-12-31 | Updated: 2020-12-13
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification
Authors: Farhad Farokhi | Published: 2019-12-29
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Authors: Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr | Published: 2019-12-24
Privacy Attacks on Network Embeddings
Authors: Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich | Published: 2019-12-23