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Title: Covariance's Loss is Privacy's Gain: Computationally Efficient, Private and Accurate Synthetic Data
Award ID(s):
2031883 1954233 2027299
PAR ID:
10344557
Author(s) / Creator(s):
; ;
Publisher / Repository:
Springer
Date Published:
Journal Name:
Foundations of Computational Mathematics
Volume:
24
Issue:
1
ISSN:
2331-8422
Page Range / eLocation ID:
179-226
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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