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We study the basic operation of set union in the global model of differential privacy.
Diversifying reply suggestions using a matching-conditional variational autoencoder
B. Deb, P. Bailey, and M. Shokouhi · 2006
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Differentially private partition selection
D. Desfontaines, J. Voss, and B. Gipson · 2006
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Mechanism design via differential privacy
F. McSherry and K. Talwar · 2007
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Releasing search queries and clicks privately
A. Korolova, K. Kenthapadi, N. Mishra, and A. Ntoulas · 2009
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The algorithmic foundations of differential privacy
C. Dwork and A. Roth · 2014
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RAPPOR: randomized aggregatable privacy-preserving ordinal response
Ú. Erlingsson, V. Pihur, and A. Korolova · 2014
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Convolutional neural network architectures for matching natural language sentences
B. Hu, Z. Lu, H. Li, and Q. Chen · 2014
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The challenge of scientific reproducibility and privacy protection for statistical agencies
J. M. Abowd · 2016
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Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. D. Smith · 2016
Cited alongside, same era.
Smart reply: Automated response suggestion for email
A. Kannan, K. Kurach, S. Ravi, T. Kaufmann, A. Tomkins, B. Miklos, G. Corrado, L. Lukács, M. Ganea, P. Young, and V. Ramavajjala · 2016
Cited alongside, same era.
Learning with privacy at scale
D. P. T. Apple · 2017
Cited alongside, same era.
Blender: enabling local search with a hybrid differential privacy model
B. Avent, A. Korolova, D. Zeber, T. Hovden, and B. Livshits · 2017
Cited alongside, same era.
Prochlo: Strong privacy for analytics in the crowd
A. Bittau, U. Erlingsson, P. Maniatis, I. Mironov, A. Raghunathan, D. Lie, M. Rudominer, U. Kode, J. Tinnes, and B. Seefeld · 2017
Cited alongside, same era.
Collecting telemetry data privately
B. Ding, J. Kulkarni, and S. Yekhanin · 2017
Cited alongside, same era.
Privacy amplification by iteration
V. Feldman, I. Mironov, K. Talwar, and A. Thakurta · 2018
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Differentially private hierarchical group size estimation
Y. Kuo, C. Chiu, D. Kifer, M. Hay, and A. Machanavajjhala · 2018
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The secret sharer: Evaluating and testing unintended memorization in neural networks
N. Carlini, C. Liu, Ú. Erlingsson, J. Kos, and D. Song · 2019
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Gmail smart compose: Real-time assisted writing
M. X. Chen, B. N. Lee, G. Bansal, Y. Cao, S. Zhang, J. Lu, J. Tsay, Y. Wang, A. M. Dai, Z. Chen, and et al · 2019
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Private selection from private candidates
J. Liu and K. Talwar · 2019
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Differentially private set union
S. Gopi, P. Gulhane, J. Kulkarni, J. H. Shen, M. Shokouhi, and S. Yekhanin · 2020
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The complexity of differential privacy
S. P. Vadhan · 2017
Cited alongside, same era.
Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising
B. Balle and Y.-X. Wang · 2018
Cited alongside, same era.
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Differentially private SQL with bounded user contribution
R. J. Wilson, C. Y. Zhang, W. Lam, D. Desfontaines, D. Simmons-Marengo, and B. Gipson · 2020
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Differentially private n-gram extraction
K. Kim, S. Gopi, J. Kulkarni, and S. Yekhanin · 2021
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