Daniel Scheliga, Patrick Mäder, Marco Seeland. PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022. pages 3605-3614, IEEE, 2022. [doi]
@inproceedings{ScheligaMS22,
title = {PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage},
author = {Daniel Scheliga and Patrick Mäder and Marco Seeland},
year = {2022},
doi = {10.1109/WACV51458.2022.00366},
url = {https://doi.org/10.1109/WACV51458.2022.00366},
researchr = {https://researchr.org/publication/ScheligaMS22},
cites = {0},
citedby = {0},
pages = {3605-3614},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022, Waikoloa, HI, USA, January 3-8, 2022},
publisher = {IEEE},
isbn = {978-1-6654-0915-5},
}