Shuang Song
Shuang Song
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Stochastic gradient descent with differentially private updates
S Song, K Chaudhuri, AD Sarwate
2013 IEEE Global Conference on Signal and Information Processing, 245-248, 2013
Scalable private learning with pate
N Papernot, S Song, I Mironov, A Raghunathan, K Talwar, ┌ Erlingsson
arXiv preprint arXiv:1802.08908, 2018
Pufferfish privacy mechanisms for correlated data
S Song, Y Wang, K Chaudhuri
Proceedings of the 2017 ACM International Conference on Management of Dataá…, 2017
Renyi differential privacy mechanisms for posterior sampling
J Geumlek, S Song, K Chaudhuri
Advances in Neural Information Processing Systems, 5289-5298, 2017
The large margin mechanism for differentially private maximization
K Chaudhuri, DJ Hsu, S Song
Advances in Neural Information Processing Systems, 1287-1295, 2014
Learning from data with heterogeneous noise using sgd
S Song, K Chaudhuri, A Sarwate
Artificial Intelligence and Statistics, 894-902, 2015
Encode, shuffle, analyze privacy revisited: formalizations and empirical evaluation
┌ Erlingsson, V Feldman, I Mironov, A Raghunathan, S Song, K Talwar, ...
arXiv preprint arXiv:2001.03618, 2020
Composition properties of inferential privacy for time-series data
S Song, K Chaudhuri
2017 55th Annual Allerton Conference on Communication, Control, andá…, 2017
Differentially Private Continual Release of Graph Statistics
S Song, S Little, S Mehta, S Vinterbo, K Chaudhuri
arXiv preprint arXiv:1809.02575, 2018
That which we call private
┌ Erlingsson, I Mironov, A Raghunathan, S Song
arXiv preprint arXiv:1908.03566, 2019
Privacy-Preserving Algorithms for Machine Learning
S Song
UC San Diego, 2018
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