%0 Conference Paper %1 conf/sensys/Papst20 %A Papst, Franz %B SenSys %D 2020 %E Nakazawa, Jin %E Huang, Polly %I ACM %K dblp %P 813-814 %T Privacy-preserving machine learning for time series data: PhD forum abstract. %U http://dblp.uni-trier.de/db/conf/sensys/sensys2020.html#Papst20 %@ 978-1-4503-7590-0

@inproceedings{conf/sensys/Papst20, added-at = {2020-11-24T00:00:00.000+0100}, author = {Papst, Franz}, biburl = {https://www.bibsonomy.org/bibtex/25395a197dfd954c100a79bed0b413b1e/dblp}, booktitle = {SenSys}, crossref = {conf/sensys/2020}, editor = {Nakazawa, Jin and Huang, Polly}, ee = {https://doi.org/10.1145/3384419.3430566}, interhash = {f650805f6a46325a96b18b6336955970}, intrahash = {5395a197dfd954c100a79bed0b413b1e}, isbn = {978-1-4503-7590-0}, keywords = {dblp}, pages = {813-814}, publisher = {ACM}, timestamp = {2024-04-09T10:35:18.000+0200}, title = {Privacy-preserving machine learning for time series data: PhD forum abstract.}, url = {http://dblp.uni-trier.de/db/conf/sensys/sensys2020.html#Papst20}, year = 2020 }