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Split learning and differential privacy are technologies with growing potential to help with privacy-compliant advanced analytics on distributed datasets.
The Algorithmic Foundations of Differential Privacy
C. Dwork, A. Roth, C. Dwork, and A. Roth · 2014
Earlier work this paper cites.
Deep Learning with Differential Privacy
M. Abadi, A. Chu, I. Goodfellow, H. B. McMahan, I. Mironov, K. Talwar, and L. Zhang · 2016
Earlier work this paper cites.
Differentially private federated learning: A client level perspective, 2017
R. C. Geyer, T. Klein, and M. Nabi · 2017
Earlier work this paper cites.
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
B. Hitaj, G. Ateniese, and F. Perez-Cruz · 2017
Earlier work this paper cites.
Distributed learning of deep neural network over multiple agents, 2018
O. Gupta and R. Raskar · 2018
Cited alongside, same era.
On evaluating adversarial robustness, 2019
N. Carlini, A. Athalye, N. Papernot, W. Brendel, J. Rauber, D. Tsipras, I. Goodfellow, A. Madry, and A. Kurakin · 2019
Cited alongside, same era.
A general approach to adding differential privacy to iterative training procedures, 2019
H. B. McMahan, G. Andrew, U. Erlingsson, S. Chien, I. Mironov, N. Papernot, and P. Kairouz · 2019
Cited alongside, same era.
Splitguard: Detecting and mitigating training-hijacking attacks in split learning
E. Erdogan, A. Kupcu, and A. E. Cicek · 2021
Cited alongside, same era.
Split learning for health: Distributed deep learning without sharing raw patient data, 2018a
P. Vepakomma, O. Gupta, T. Swedish, and R. Raskar
Cited in the paper.
No peek: A survey of private distributed deep learning, 2018b
P. Vepakomma, T. Swedish, R. Raskar, O. Gupta, and A. Dubey
Cited in the paper.
Unsplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning
E. Erdogan, A. Kupcu, and A. E. Cicek · 2021
Later among the works it cites.
Making the shoe fit: Architectures, initializations, and tuning for learning with privacy
N. Papernot, S. Chien, S. Song, A. Thakurta, and U. Erlingsson · 2021
Later among the works it cites.
Unleashing the tiger: Inference attacks on split learning, 2021
D. Pasquini, G. Ateniese, and M. Bernaschi · 2021
Later among the works it cites.
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