An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning.

@inproceedings{yang-2022-accuracylossless, author = {Xue Yang and Yan Feng and Weijun Fang and Jun Shao and Xiaohu Tang and Shu-Tao Xia and Rongxing Lu}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {732--742}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3512233}, doi = {https://doi.org/10.1145/3485447.3512233} }