%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 }