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One barrier to more widespread adoption of differentially private neural networks is the entailed accuracy loss.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Learning Multiple Layers of Features from Tiny Images
Alex Krizhevsky · 2009
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The Algorithmic Foundations of Differential Privacy
Cynthia Dwork and Aaron Roth · 2014
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Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, and Vinay Shet · 2014
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TensorFlow: A system for large-scale machine learning
Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng · 2016
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Deep Learning with Differential Privacy
Martin Abadi, Andy Chu, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang · 2016
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Deep Residual Learning for Image Recognition
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Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas · 2017
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Adaptive laplace mechanism: Differential privacy preservation in deep learning
NhatHai Phan, Xintao Wu, Han Hu, and Dejing Dou · 2017
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Galen Andrew, Steve Chien, and Nicolas Papernot · 2018
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Three Tools for Practical Differential Privacy
Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, and Giorgio Patrini · 2018
Local differential privacy for deep learning
Pathum Chamikara Mahawaga Arachchige, Peter Bertok, Ibrahim Khalil, Dongxi Liu, Seyit Camtepe, and Mohammed Atiquzzaman · 2019
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Neural architecture search: A survey
Thomas Elsken, Jan Hendrik Metzen, and Frank Hutter · 2019
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Evaluating Differentially Private Machine Learning in Practice
Bargav Jayaraman and David Evans · 2019
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Making the Shoe Fit: Architectures, Initializations, and Tuning for Learning with Privacy, September 2019
Nicolas Papernot, Steve Chien, Shuang Song, Abhradeep Thakurta, and Ulfar Erlingsson · 2019
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Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity
Jingzhao Zhang, Tianxing He, Suvrit Sra, and Ali Jadbabaie · 2020
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Tempered Sigmoid Activations for Deep Learning with Differential Privacy
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Cited alongside, same era.
Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, and Úlfar Erlingsson · 2021
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