SecFL: Confidential Federated Learning using TEEs
Authors: Do Le Quoc, Christof Fetzer | Published: 2021-10-03 | Updated: 2021-10-07
プライバシーリスク管理
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Authors: Badih Ghazi, Ravi Kumar, Pasin Manurangsi, Rasmus Pagh, Amer Sinha | Published: 2021-09-27
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
Authors: Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud | Published: 2021-09-26
A Validated Privacy-Utility Preserving Recommendation System with Local Differential Privacy
Authors: Seryne Rahali, Maryline Laurent, Souha Masmoudi, Charles Roux, Brice Mazeau | Published: 2021-09-23
Secure PAC Bayesian Regression via Real Shamir Secret Sharing
Authors: Jaron Skovsted Gundersen, Bulut Kuskonmaz, Rafael Wisniewski | Published: 2021-09-23 | Updated: 2023-04-17
Partial sensitivity analysis in differential privacy
Authors: Tamara T. Mueller, Alexander Ziller, Dmitrii Usynin, Moritz Knolle, Friederike Jungmann, Daniel Rueckert, Georgios Kaissis | Published: 2021-09-22 | Updated: 2021-11-28
An automatic differentiation system for the age of differential privacy
Authors: Dmitrii Usynin, Alexander Ziller, Moritz Knolle, Andrew Trask, Kritika Prakash, Daniel Rueckert, Georgios Kaissis | Published: 2021-09-22 | Updated: 2022-04-05
SoK: Machine Learning Governance
Authors: Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot | Published: 2021-09-20
A Fairness Analysis on Private Aggregation of Teacher Ensembles
Authors: Cuong Tran, My H. Dinh, Kyle Beiter, Ferdinando Fioretto | Published: 2021-09-17
Differential Privacy in Personalized Pricing with Nonparametric Demand Models
Authors: Xi Chen, Sentao Miao, Yining Wang | Published: 2021-09-10