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By Author
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Synthetic Data Generation with Differential Privacy via Bayesian Networks
Ergute Bao, Xiaokui Xiao, Jun Zhao, Dongping Zhang, Bolin Ding
Subsampled Rényi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle, Shiva Kasiviswanathan
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
How Uncertainty about Privacy and Confidentiality is Hampering Efforts to More Effectively Use Administrative Records in Producing U.S. National Statistics
Gerald W. Gates
Expansion, perspectives, and challenges
Lars Vilhuber
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model
Kobbi Nissim, Chao Yan
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
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