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Boulder

3401 Walnut

Sprint 1: Project Summary First, we subsample the dataset to reduce any individual’s impact on the data smaller to reduce the amount of...

Duke DP Team

Sprint 1: Project Summary Our approach is decomposed into two steps: truncation and reweighting. Truncation is to ignore the incidents that...

N-CRiPT

Sprint 1: Project Summary We query the histogram of the dataset and use two denoising methods to postprocess the histogram. Block-matching...

SyrDP

Sprint 1: Project Summary In addition to using a classic output perturbation mechanism, the approach relies on privately answering a...

DPSyn_S

Sprint 1: Project Summary The evaluation metric partitions the dataset into 3336 subsets (278 neighborhoods times 12 months), and for each...

Minutemen

Sprint 1: Project Summary To reduce the sensitivity, we preprocessed the data by subsampling to reduce the max individual contributions. For...