Fetching the paper…
Reading the bibliography…
We study the problem of top-$k$ selection over a large domain universe subject to user-level differential privacy.
Federated heavy hitters discovery with differential privacy
W. Zhu, P. Kairouz, H. Sun, B. McMahan, and W. Li · 1902
Earlier work this paper cites.
When do data mining results violate privacy?
M. Kantarcioǧlu, J. Jin, and C. Clifton · 2004
Earlier work this paper cites.
Calibrating noise to sensitivity in private data analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
Earlier work this paper cites.
L-diversity: Privacy beyond k-anonymity
A. Machanavajjhala, D. Kifer, J. Gehrke, and M. Venkitasubramaniam · 2007
Earlier work this paper cites.
Mechanism design via differential privacy
F. McSherry and K. Talwar · 2007
Earlier work this paper cites.
A survey of top-k query processing techniques in relational database systems
I. F. Ilyas, G. Beskales, and M. A. Soliman · 2008
Earlier work this paper cites.
Discovering frequent patterns in sensitive data
R. Bhaskar, S. Laxman, A. Smith, and A. Thakurta · 2010
Earlier work this paper cites.
Boosting and differential privacy
C. Dwork, G. N. Rothblum, and S. P. Vadhan · 2010
Earlier work this paper cites.
Privbasis: Frequent itemset mining with differential privacy
N. Li, W. H. Qardaji, D. Su, and J. Cao · 2012
Earlier work this paper cites.
On differentially private frequent itemset mining
C. Zeng, J. F. Naughton, and J.-Y. Cai · 2012
Earlier work this paper cites.
The large margin mechanism for differentially private maximization
K. Chaudhuri, D. J. Hsu, and S. Song · 2014
Cited alongside, same era.
The algorithmic foundations of differential privacy
C. Dwork and A. Roth · 2014
Cited alongside, same era.
Rappor: Randomized aggregatable privacy-preserving ordinal response
U. Erlingsson, V. Pihur, and A. Korolova · 2014
Cited alongside, same era.
Top-k frequent itemsets via differentially private fp-trees
J. Lee and C. W. Clifton · 2014
Cited alongside, same era.
Local, private, efficient protocols for succinct histograms
R. Bassily and A. Smith · 2015
Cited alongside, same era.
Private False Discovery Rate Control
C. Dwork, W. Su, and L. Zhang · 2015
Privacy odometers and filters: Pay-as-you-go composition
R. M. Rogers, A. Roth, J. Ullman, and S. P. Vadhan · 2016
Later among the works it cites.
Learning with privacy at scale, 2017
Apple Differential Privacy Team · 2017
Later among the works it cites.
The price of selection in differential privacy
M. Bafna and J. Ullman · 2017
Later among the works it cites.
Practical locally private heavy hitters
R. Bassily, K. Nissim, U. Stemmer, and A. Guha Thakurta · 2017
Later among the works it cites.
The modernization of statistical disclosure limitation at the U.S. Census bureau
A. N. Dajani, A. D. Lauger, P. E. Singer, D. Kifer, J. P. Reiter, A. Machanavajjhala, S. L. Garfinkel1, S. A. Dahl, M. Graham, V. Karwa, H. Kim, P. Leclerc, I. M. Schmutte, W. N. Sexton, L. Vilhuber, and J. M. Abowd · 2017
Later among the works it cites.
Collecting telemetry data privately
B. Ding, J. Kulkarni, and S. Yekhanin · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Concentrated differential privacy: Simplifications, extensions, and lower bounds
M. Bun and T. Steinke · 2016
Cited alongside, same era.
Concentrated differential privacy
C. Dwork and G. Rothblum · 2016
Cited alongside, same era.
Building a rappor with the unknown: Privacy-preserving learning of associations and data dictionaries
G. Fanti, V. Pihur, and Úlfar Erlingsson · 2016
Cited alongside, same era.
The complexity of computing the optimal composition of differential privacy
J. Murtagh and S. Vadhan · 2016
Cited alongside, same era.
The composition theorem for differential privacy
P. Kairouz, S. Oh, and P. Viswanath · 2017
Later among the works it cites.
Towards practical differential privacy for sql queries
N. Johnson, J. P. Near, and D. Song · 2018
Later among the works it cites.
Pripearl: A framework for privacy-preserving analytics and reporting at linkedin
K. Kenthapadi and T. T. L. Tran · 2018
Later among the works it cites.