Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/corr/abs-2112-05588
%A Chen, Jialuo
%A Wang, Jingyi
%A Peng, Tinglan
%A Sun, Youcheng
%A Cheng, Peng
%A Ji, Shouling
%A Ma, Xingjun
%A Li, Bo
%A Song, Dawn
%D 2021
%J CoRR
%K dblp
%T Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.
%U http://dblp.uni-trier.de/db/journals/corr/corr2112.html#abs-2112-05588
%V abs/2112.05588
@article{journals/corr/abs-2112-05588,
added-at = {2022-09-26T00:00:00.000+0200},
author = {Chen, Jialuo and Wang, Jingyi and Peng, Tinglan and Sun, Youcheng and Cheng, Peng and Ji, Shouling and Ma, Xingjun and Li, Bo and Song, Dawn},
biburl = {https://www.bibsonomy.org/bibtex/2b58157ad55e0550e5fb861b13030014d/dblp},
ee = {https://arxiv.org/abs/2112.05588},
interhash = {28d95fecd95fda8f4ede18ea0700e49c},
intrahash = {b58157ad55e0550e5fb861b13030014d},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T23:43:30.000+0200},
title = {Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2112.html#abs-2112-05588},
volume = {abs/2112.05588},
year = 2021
}