@InProceedings{aliakbarpour_et_al:LIPIcs.ITCS.2024.3,
author = {Aliakbarpour, Maryam and Silver, Rose and Steinke, Thomas and Ullman, Jonathan},
title = {{Differentially Private Medians and Interior Points for Non-Pathological Data}},
booktitle = {15th Innovations in Theoretical Computer Science Conference (ITCS 2024)},
pages = {3:1--3:21},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-309-6},
ISSN = {1868-8969},
year = {2024},
volume = {287},
editor = {Guruswami, Venkatesan},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2024.3},
URN = {urn:nbn:de:0030-drops-195313},
doi = {10.4230/LIPIcs.ITCS.2024.3},
annote = {Keywords: Differential Privacy, Statistical Estimation, Approximate Medians, Interior Point Problem}
}