Privacy Loss Classes: The Central Limit Theorem in Differential Privacy

Authors: David Sommer, Sebastian Meiser, and Esfandiar Mohammadi

Proceedings on Privacy Enhancing Technologies

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Dr. David Sommer

Doctoral Student (2015 – 2021)

Zühlke, Zurich

BibTex

@INPROCEEDINGS{sommer2019privacy,
	copyright = {Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International},
	doi = {10.3929/ethz-b-000359450},
	year = {2019},
	volume = {2019},
	type = {Conference Paper},
	journal = {Proceedings on Privacy Enhancing Technologies},
	author = {Sommer, David M. and Meiser, Sebastian and Mohammadi, Esfandiar},
	size = {25 p.},
	edition = {25 p.},
	issn = {2299-0984},
	keywords = {differential privacy; continuous observation; privacy loss; Gauss mechanism; composition},
	language = {en},
	address = {Berlin},
	publisher = {De Gruyter},
	number = {2},
	title = {Privacy Loss Classes: The Central Limit Theorem in Differential Privacy},
	PAGES = {245 - 269},
	Note = {19th Privacy Enhancing Technologies Symposium (PETS 2019); Conference Location: Stockholm, Sweden; Conference Date: July 16–20, 2019}
}

Research Collection: 20.500.11850/359450