%0 Journal Article %1 journals/iotj/XuRSZQR19 %A Xu, Chugui %A Ren, Ju %A She, Liang %A Zhang, Yaoxue %A Qin, Zhan %A Ren, Kui %D 2019 %J IEEE Internet of Things Journal %K dblp %N 3 %P 5140-5151 %T EdgeSanitizer: Locally Differentially Private Deep Inference at the Edge for Mobile Data Analytics. %U http://dblp.uni-trier.de/db/journals/iotj/iotj6.html#XuRSZQR19 %V 6

@article{journals/iotj/XuRSZQR19, added-at = {2019-07-05T00:00:00.000+0200}, author = {Xu, Chugui and Ren, Ju and She, Liang and Zhang, Yaoxue and Qin, Zhan and Ren, Kui}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2d6446bcb9d83a5bb8857238cc3ad298f/dblp}, ee = {https://doi.org/10.1109/JIOT.2019.2897005}, interhash = {d94336fcd0022c572e1e19fd468c925f}, intrahash = {d6446bcb9d83a5bb8857238cc3ad298f}, journal = {IEEE Internet of Things Journal}, keywords = {dblp}, number = 3, pages = {5140-5151}, timestamp = {2019-09-27T06:51:57.000+0200}, title = {EdgeSanitizer: Locally Differentially Private Deep Inference at the Edge for Mobile Data Analytics.}, url = {http://dblp.uni-trier.de/db/journals/iotj/iotj6.html#XuRSZQR19}, volume = 6, year = 2019 }