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
プライバシー保護手法
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
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Authors: Oluwaseyi Feyisetan, Tom Diethe, Thomas Drake | Published: 2019-10-20
Federated Generative Privacy
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-10-18
Differential Privacy Has Disparate Impact on Model Accuracy
Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2019-05-28 | Updated: 2019-10-27
Shredder: Learning Noise Distributions to Protect Inference Privacy
Authors: Fatemehsadat Mireshghallah, Mohammadkazem Taram, Prakash Ramrakhyani, Dean Tullsen, Hadi Esmaeilzadeh | Published: 2019-05-26 | Updated: 2020-10-27
CryptoNN: Training Neural Networks over Encrypted Data
Authors: Runhua Xu, James B. D. Joshi, Chao Li | Published: 2019-04-15 | Updated: 2019-04-26