Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case
Authors: Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu, Umit Cali | Published: 2022-04-16
Cryptographic Protocol
Privacy-preserving Similarity Calculation of Speaker Features Using Fully Homomorphic Encryption
Authors: Yogachandran Rahulamathavan | Published: 2022-02-16 | Updated: 2022-03-14
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service
Authors: Songlei Wang, Yifeng Zheng, Xiaohua Jia | Published: 2022-02-16 | Updated: 2023-01-31
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data
Authors: Guanhong Miao | Published: 2022-02-05 | Updated: 2022-07-20
Training Differentially Private Models with Secure Multiparty Computation
Authors: Sikha Pentyala, Davis Railsback, Ricardo Maia, Rafael Dowsley, David Melanson, Anderson Nascimento, Martine De Cock | Published: 2022-02-05 | Updated: 2022-09-01
Linear Model Against Malicious Adversaries with Local Differential Privacy
Authors: Guanhong Miao, A. Adam Ding, Samuel S. Wu | Published: 2022-02-05 | Updated: 2022-06-29
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications
Authors: Hitoshi Kiya, AprilPyone MaungMaung, Yuma Kinoshita, Shoko Imaizumi, Sayaka Shiota | Published: 2022-01-26 | Updated: 2022-04-16
Scalable Privacy-Preserving Distributed Learning
Authors: David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux | Published: 2020-05-19 | Updated: 2021-07-14
A Deep Learning Based Attack for The Chaos-based Image Encryption
Authors: Chen He, Kan Ming, Yongwei Wang, Z. Jane Wang | Published: 2019-07-29
Distributed and Secure ML with Self-tallying Multi-party Aggregation
Authors: Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl Gunter | Published: 2018-11-26