Advances in Differential Privacy and Differentially Private Machine Learning

Author:

Das SaswatORCID,Mishra SubhankarORCID

Publisher

Springer Nature Singapore

Reference129 articles.

1. Abadi M, Chu A, Goodfellow I, McMahan HB, Mironov I, Talwar K, Zhang L (2016) Deep learning with differential privacy. In: Proceedings of the 2016 ACM SIGSAC conference on computer and communications security. https://doi.org/10.1145/2976749.2978318

2. Amin K, Gillenwater J, Joseph M, Kulesza A, Vassilvitskii S (2022) Plume: differential privacy at scale

3. Andrew G, Thakkar O, McMahan HB, Ramaswamy S (2021) Differentially private learning with adaptive clipping

4. Balle B, Barthe G, Gaboardi M (2018) Privacy amplification by subsampling: tight analyses via couplings and divergences

5. Bansal N, Blum A, Chawla S (2002) Correlation clustering. In: The 43rd annual IEEE symposium on foundations of computer science. Proceedings, pp 238–247. https://doi.org/10.1109/SFCS.2002.1181947

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