TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
Authors: Ayoub Benaissa, Bilal Retiat, Bogdan Cebere, Alaa Eddine Belfedhal | Published: 2021-04-07 | Updated: 2021-04-28
Privacy Protection
Plinius: Secure and Persistent Machine Learning Model Training
Authors: Peterson Yuhala, Pascal Felber, Valerio Schiavoni, Alain Tchana | Published: 2021-04-07 | Updated: 2021-04-08
Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols
Authors: Stefano M P C Souza, Daniel G Silva | Published: 2021-04-03
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning
Authors: ibrahim Yilmaz, Ambareen Siraj | Published: 2020-10-23
COVID-19 Imaging Data Privacy by Federated Learning Design: A Theoretical Framework
Authors: Anwaar Ulhaq, Oliver Burmeister | Published: 2020-10-13
Private data sharing between decentralized users through the privGAN architecture
Authors: Jean-Francois Rajotte, Raymond T Ng | Published: 2020-09-14
Adversarial Privacy Preserving Graph Embedding against Inference Attack
Authors: Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai | Published: 2020-08-30
Private Dataset Generation Using Privacy Preserving Collaborative Learning
Authors: Amit Chaulwar | Published: 2020-04-28
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework
Authors: Hongyu Li, Dan Meng, Hong Wang, Xiaolin Li | Published: 2020-02-05 | Updated: 2020-05-22
Modelling and Quantifying Membership Information Leakage in Machine Learning
Authors: Farhad Farokhi, Mohamed Ali Kaafar | Published: 2020-01-29 | Updated: 2020-04-28