CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
Authors: Sijun Tan, Brian Knott, Yuan Tian, David J. Wu | Published: 2021-04-22
Privacy Protection
Vectorized Secure Evaluation of Decision Forests
Authors: Raghav Malik, Vidush Singhal, Benjamin Gottfried, Milind Kulkarni | Published: 2021-04-19
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
Authors: Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu | Published: 2021-04-14
Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14
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
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