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Gerome Miklau

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titleconferencedate
Negotiating Privacy/Utility Trade-Offs under Differential PrivacyPEPR '222022-06-23
The College Scorecard project links Department of Education cohorts to IRS earnings data and moves from ad hoc suppression to differential privacy, producing…
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Accuracy Disparities and Social Choices in the Design of Privacy MechanismsData Privacy: From Foundations to Applications (Simons Institute workshop, 2019)2019-03-04
Claims that common differential privacy pipelines produce uneven harms: applying Laplace mechanism to census-style counts yields unbiased equal-variance noise…
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Simons Institute Live StreamData Privacy: Foundations and Applications Boot Camp2019-01-28
Covers concrete algorithms and bounds for answering counting (linear) queries under differential privacy: the Gaussian noise mechanism adds iid Gaussian scaled…
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Algorithms for Answering Linear Queries, Part IIData Privacy: Foundations and Applications Boot Camp2019-01-28
Adds Gaussian noise to query answers and then projects back onto the feasible set of answers so noisy outputs become consistent; this Gaussian noise +…
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Algorithms for Answering Linear Queries, Part IIIData Privacy: Foundations and Applications Boot Camp2019-01-28
Presents a scalable variant of the matrix mechanism that replaces a global semidefinite program with local gradient optimization over a parameterized family of…
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