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
プライバシーリスク管理
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
An Experiment Study on Federated LearningTestbed
Authors: Cheng Shen, Wanli Xue | Published: 2021-03-19
DDUO: General-Purpose Dynamic Analysis for Differential Privacy
Authors: Chike Abuah, Alex Silence, David Darais, Joe Near | Published: 2021-03-16
Quantum federated learning through blind quantum computing
Authors: Weikang Li, Sirui Lu, Dong-Ling Deng | Published: 2021-03-15 | Updated: 2021-09-02
Quantum machine learning with differential privacy
Authors: William M Watkins, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2021-03-10