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%0 Conference Paper
%1 info3-inproceedings-2021-16
%A Dietz, Katharina
%A Mühlhauser, Michael
%A Seufert, Michael
%A Gray, Nicholas
%A Hoßfeld, Tobias
%A Herrmann, Dominik
%B 1st International Workshop on Machine Learning in Networking (MaLeNe) as part of NetSys'21
%C Lübeck, Germany (Virtual Conference)
%D 2021
%K myown wintermute ucn
%T Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?
@inproceedings{info3-inproceedings-2021-16,
added-at = {2021-09-01T08:52:42.000+0200},
address = {Lübeck, Germany (Virtual Conference)},
author = {Dietz, Katharina and Mühlhauser, Michael and Seufert, Michael and Gray, Nicholas and Hoßfeld, Tobias and Herrmann, Dominik},
biburl = {https://www.bibsonomy.org/bibtex/2a42e5a47b3c357db6ce833b94a7f7cd4/uniwue_info3},
booktitle = {1st International Workshop on Machine Learning in Networking (MaLeNe) as part of NetSys'21},
interhash = {d965e7e554b23fbb7f2c5883cae47306},
intrahash = {a42e5a47b3c357db6ce833b94a7f7cd4},
keywords = {myown wintermute ucn},
month = {9},
timestamp = {2023-10-29T20:42:51.000+0100},
title = {Browser Fingerprinting: How to Protect Machine Learning Models and Data with Differential Privacy?},
year = 2021
}