Roberto Molinari
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| title | conference | date |
|---|---|---|
| Robust Statistics and Bias Correction: Ideas for Differential Privacy and Utility | Privacy and the Science of Data Analysis 2019 | 2019-04-08 |
Argues that using M-estimators with bounded score (Huber family, tuning K between 0.5–2) yields bounded sensitivity so less noise is needed under objective… | ||
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