%0 Conference Paper %1 conf/cvpr/Sun0WY0C21 %A Sun, Jingwei %A Li, Ang %A Wang, Binghui %A Yang, Huanrui %A Li, Hai %A Chen, Yiran %B CVPR %D 2021 %I Computer Vision Foundation / IEEE %K dblp %P 9311-9319 %T Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. %U http://dblp.uni-trier.de/db/conf/cvpr/cvpr2021.html#Sun0WY0C21

@inproceedings{conf/cvpr/Sun0WY0C21, added-at = {2022-10-02T00:00:00.000+0200}, author = {Sun, Jingwei and Li, Ang and Wang, Binghui and Yang, Huanrui and Li, Hai and Chen, Yiran}, biburl = {https://www.bibsonomy.org/bibtex/243578557c01cf9dbec2494f800eae4c1/dblp}, booktitle = {CVPR}, crossref = {conf/cvpr/2021}, ee = {https://doi.org/10.1109/CVPR46437.2021.00919}, interhash = {b801b6028fec0eddc47a61081d89228f}, intrahash = {43578557c01cf9dbec2494f800eae4c1}, keywords = {dblp}, pages = {9311-9319}, publisher = {Computer Vision Foundation / IEEE}, timestamp = {2024-04-09T20:53:51.000+0200}, title = {Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.}, url = {http://dblp.uni-trier.de/db/conf/cvpr/cvpr2021.html#Sun0WY0C21}, year = 2021 }