Quantification of the Leakage in Federated Learning

Deep leakage from gradients

Original

Ligeng Zhu, Zhijian Liu, and Song Han · 1906

Earlier work this paper cites.

Privacy-preserving data sharing for genome-wide association studies

Caroline Uhlerop, Aleksandra Slavković, and Stephen E Fienberg · 2013

Earlier work this paper cites.

Privacy-preserving deep learning

Reza Shokri and Vitaly Shmatikov · 2015

Earlier work this paper cites.

Federated learning of deep networks using model averaging

Original

H. Brendan McMahan, Eider Moore, Daniel Ramage, and Blaise Agüera y Arcas · 2016

Earlier work this paper cites.

Federated learning: Strategies for improving communication efficiency

Original

Jakub Konečnỳ, H Brendan McMahan, Felix X Yu, Peter Richtárik, Ananda Theertha Suresh, and Dave Bacon · 2016

Cited alongside, same era.

Scalable and secure logistic regression via homomorphic encryption

Yoshinori Aono, Takuya Hayashi, Le Trieu Phong, and Lihua Wang · 2016

Cited alongside, same era.

Deep models under the gan: information leakage from collaborative deep learning

Briland Hitaj, Giuseppe Ateniese, and Fernando Perez-Cruz · 2017

Cited alongside, same era.

Practical secure aggregation for privacy-preserving machine learning

Keith Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth · 2017

Cited alongside, same era.

Differentially private federated learning: A client level perspective

Original

Robin C Geyer, Tassilo Klein, and Moin Nabi · 2017

Later among the works it cites.

Privacy-preserving deep learning: Revisited and enhanced

Yoshinori Aono, Takuya Hayashi, Lihua Wang, Shiho Moriai, et al · 2017

Later among the works it cites.

Exploiting unintended feature leakage in collaborative learning

Original

Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov · 2018

Later among the works it cites.

Federated machine learning: Concept and applications

Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong · 2019

Closest in time.