Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, Michael Moeller 0001. Inverting Gradients - How easy is it to break privacy in federated learning?. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]
@inproceedings{GeipingBD020,
title = {Inverting Gradients - How easy is it to break privacy in federated learning?},
author = {Jonas Geiping and Hartmut Bauermeister and Hannah Dröge and Michael Moeller 0001},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/c4ede56bbd98819ae6112b20ac6bf145-Abstract.html},
researchr = {https://researchr.org/publication/GeipingBD020},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}