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Can a differentially private estimator be characterized via its influence function?
Privacy-preserving parametric inference: a case for robust statistics
Statistics Robust Differential Privacy
by Emily ▴ 25
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It depends. **Authors that are registered users:** If an author of the paper is - a registered user, - known to be the author (se…
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Use a distibution that's symmetric around the origin and normalize the results so they lie on the sphere. E.g. you can use a Gaussian. He…
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