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An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?

Nov 10, 2020
Nicholas Carlini, Samuel Deng, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Shuang Song, Abhradeep Thakurta, Florian Tramer


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Tempered Sigmoid Activations for Deep Learning with Differential Privacy

Jul 28, 2020
Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson


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Characterizing Private Clipped Gradient Descent on Convex Generalized Linear Problems

Jun 11, 2020
Shuang Song, Om Thakkar, Abhradeep Thakurta


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Combining MixMatch and Active Learning for Better Accuracy with Fewer Labels

Dec 03, 2019
Shuang Song, David Berthelot, Afshin Rostamizadeh


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That which we call private

Aug 08, 2019
Úlfar Erlingsson, Ilya Mironov, Ananth Raghunathan, Shuang Song


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A Comparison of Stereo-Matching Cost between Convolutional Neural Network and Census for Satellite Images

May 22, 2019
Bihe Chen, Rongjun Qin, Xu Huang, Shuang Song, Xiaohu Lu


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Scalable Private Learning with PATE

Feb 24, 2018
Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Úlfar Erlingsson

* Published as a conference paper at ICLR 2018 

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Rényi Differential Privacy Mechanisms for Posterior Sampling

Oct 02, 2017
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri

* to be published in NIPS 2017 

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Composition Properties of Inferential Privacy for Time-Series Data

Jul 10, 2017
Shuang Song, Kamalika Chaudhuri


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Pufferfish Privacy Mechanisms for Correlated Data

Mar 12, 2017
Shuang Song, Yizhen Wang, Kamalika Chaudhuri


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Learning from Data with Heterogeneous Noise using SGD

Dec 17, 2014
Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate


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The Large Margin Mechanism for Differentially Private Maximization

Sep 07, 2014
Kamalika Chaudhuri, Daniel Hsu, Shuang Song


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