Differentially private statistical estimation
Differential Privacy is now a gold standard for data privacy in many learning and statistical tasks. It has enjoyed over a decade of intense study, with focus on both upper and lower bounds in different settings for different problems. In the intersection of privacy and statistical estimation (hence...
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| Online Access: | http://hdl.handle.net/2047/D20413921 |