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By Author
Search Results
Secure Statistical Analysis of Distributed Databases, Emphasizing What We Don't Know
Alan F. Karr
A Unified Interpretation of the Gaussian Mechanism for Differential Privacy Through the Sensitivity Index
Georgios Kaissis, Moritz Knolle, Friederike Jungmann, Alexander Ziller, Dmitrii Usynin, Daniel Rueckert
Numerical Composition of Differential Privacy
Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz
The Bounded Gaussian Mechanism for Differential Privacy
Bo Chen, Matthew Hale
Overlook: Differentially Private Exploratory Visualization for Big Data
Mihai Budiu, Pratiksha Thaker, Parikshit Gopalan, Udi Wieder, Matei Zaharia
Model Selection when multiple imputation is used to protect confidentiality in public use data
Satkartar K. Kinney, Jerome P. Reiter, James O. Berger
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy
Jonathan Hehir, Aleksandra Slavkovic, Xiaoyue Niu
The Discrete Gaussian for Differential Privacy
Clement Canonne, Gautam Kamath, Thomas Steinke
Manipulation Attacks in Local Differential Privacy
Albert Cheu, Adam Smith, Jonathan Ullman
Program for TPDP 2016
Gilles Barthe, Christos Dimitrakakis, Marco Gaboardi, Andreas Haeberlen, Aaron Roth, Aleksandra B Slavković
Program for TPDP 2017
Jonathan Ullman; Lars Vilhuber
The Effect of Data Swapping on Analyses of American Community Survey Data
Nicolas Kim
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges
Tianhao Wang, Ninghui Li, Zhikun Zhang
In Honour of Steve and Joyce Fienberg
Natalie Shlomo
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Ryan McKenna, Gerome Miklau, Daniel Sheldon
Private Boosted Decision Trees via Smooth Re-Weighting
Mohammadmahdi Jahanara, Vahid Asadi, Marco Carmosino, Akbar Rafiey, Bahar Salamatian
Representing Sparse Vectors with Differential Privacy, Low Error, Optimal Space, and Fast Access
Martin Aumüller, Christian Janos Lebeda, Rasmus Pagh
Memories of Steve Fienberg
Rebecca Carter Steorts
Introduction to Special Section
Dan Kifer
Private Convex Optimization via Exponential Mechanism
Sivakanth Gopi, Yin Tat Lee, Daogao Liu
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism
Arjun Wilkins, Daniel Kifer, Danfeng Zhang, Brian Karrer
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results
Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis
Differentially Private Set Union
Sivakanth Gopi, Pankaj Gulhane, Janardhan Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy
Ryan McKenna, Gerome Miklau, Michael Hay, Ashwin Machanavajjhala
Interaction is Necessary for Distributed Learning with Privacy or Communication Constraints
Yuval Dagan, Vitaly Feldman
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