Follow
Shuang Song
Shuang Song
Verified email at eng.ucsd.edu - Homepage
Title
Cited by
Cited by
Year
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
4722013
Scalable private learning with pate
N Papernot, S Song, I Mironov, A Raghunathan, K Talwar, ┌ Erlingsson
arXiv preprint arXiv:1802.08908, 2018
3742018
Pufferfish privacy mechanisms for correlated data
S Song, Y Wang, K Chaudhuri
Proceedings of the 2017 ACM International Conference on Management of Dataá…, 2017
125*2017
Tempered sigmoid activations for deep learning with differential privacy
N Papernot, A Thakurta, S Song, S Chien, ┌ Erlingsson
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9312-9321, 2021
67*2021
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
662020
Renyi differential privacy mechanisms for posterior sampling
J Geumlek, S Song, K Chaudhuri
Advances in Neural Information Processing Systems 30, 2017
502017
The large margin mechanism for differentially private maximization
K Chaudhuri, DJ Hsu, S Song
Advances in Neural Information Processing Systems 27, 2014
402014
Learning from data with heterogeneous noise using sgd
S Song, K Chaudhuri, A Sarwate
Artificial Intelligence and Statistics, 894-902, 2015
382015
Evading the curse of dimensionality in unconstrained private glms
S Song, T Steinke, O Thakkar, A Thakurta
International Conference on Artificial Intelligence and Statistics, 2638-2646, 2021
36*2021
Practical and private (deep) learning without sampling or shuffling
P Kairouz, B McMahan, S Song, O Thakkar, A Thakurta, Z Xu
International Conference on Machine Learning, 5213-5225, 2021
232021
Combining mixmatch and active learning for better accuracy with fewer labels
S Song, D Berthelot, A Rostamizadeh
arXiv preprint arXiv:1912.00594, 2019
172019
Differentially private continual release of graph statistics
S Song, S Little, S Mehta, S Vinterbo, K Chaudhuri
arXiv preprint arXiv:1809.02575, 2018
152018
Membership inference attacks from first principles
N Carlini, S Chien, M Nasr, S Song, A Terzis, F Tramer
arXiv preprint arXiv:2112.03570, 2021
132021
Composition properties of inferential privacy for time-series data
S Song, K Chaudhuri
2017 55th Annual Allerton Conference on Communication, Control, andá…, 2017
132017
That which we call private
┌ Erlingsson, I Mironov, A Raghunathan, S Song
arXiv preprint arXiv:1908.03566, 2019
112019
The flajolet-martin sketch itself preserves differential privacy: Private counting with minimal space
A Smith, S Song, A Guha Thakurta
Advances in Neural Information Processing Systems 33, 19561-19572, 2020
62020
Toward training at imagenet scale with differential privacy
A Kurakin, S Chien, S Song, R Geambasu, A Terzis, A Thakurta
arXiv preprint arXiv:2201.12328, 2022
42022
Differentially Private Model Personalization
P Jain, J Rush, A Smith, S Song, A Guha Thakurta
Advances in Neural Information Processing Systems 34, 29723-29735, 2021
22021
Public data-assisted mirror descent for private model training
E Amid, A Ganesh, R Mathews, S Ramaswamy, S Song, T Steinke, ...
arXiv preprint arXiv:2112.00193, 2021
22021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
S Chien, P Jain, W Krichene, S Rendle, S Song, A Thakurta, L Zhang
International Conference on Machine Learning, 1877-1887, 2021
12021
The system can't perform the operation now. Try again later.
Articles 1–20