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By Author
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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
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy
Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan
On the Connection Between the ABS Perturbation Methodology and Differential Privacy
Parastoo Sadeghi , Chien-Hung Chien
Differentially private false discovery rate control
Cynthia Dwork, Weijie Su, Li Zhang
Generalized Rainbow Differential Privacy
Yuzhou Gu, Ziqi Zhou, Onur Günlü, Rafael G. L. D'Oliveira, Parastoo Sadeghi, Muriel Médard, Rafael F. Schaefer
Synthetic Data Generation with Differential Privacy via Bayesian Networks
Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding
Releasing Microdata: Disclosure Risk Estimation, Data Masking and Assessing Utility
Natalie Shlomo
Maintaining Analytic Utility while Protecting Confidentiality of Survey and Nonsurvey Data
Avinash C. Singh
Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning
Daniel M Bittner, Alejandro E Brito, Mohsen Ghassemi, Shantanu Rane, Anand D Sarwate, Rebecca N Wright
Expansion, perspectives, and challenges
Lars Vilhuber
Differentially Private Synthetic Control
Saeyoung Rho, Rachel Cummings, Vishal Misra
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
Kobbi Nissim, Chao Yan
Private Query Release via the Johnson-Lindenstrauss Transform
Aleksandar Nikolov
Geographic Spines in the 2020 Census Disclosure Avoidance System
Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer, Philip Leclerc, Jeffrey Ocker, Michael Ratcliffe, Pavel Zhuravlev, John M. Abowd
Program for TPDP 2018
Aleksandar Nikolov; Lars Vilhuber
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations
Ruobin Gong
Efficiently Estimating Erdos-Renyi Graphs with Node Differential Privacy
Adam Sealfon, Jonathan Ullman
101 - 121 of 121 items
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