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%0 Journal Article
%1 journals/corr/abs-1809-06498
%A Li, Deqiang
%A Baral, Ramesh
%A Li, Tao
%A Wang, Han
%A Li, Qianmu
%A Xu, Shouhuai
%D 2018
%J CoRR
%K dblp
%T HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples.
%U http://dblp.uni-trier.de/db/journals/corr/corr1809.html#abs-1809-06498
%V abs/1809.06498
@article{journals/corr/abs-1809-06498,
added-at = {2018-10-05T00:00:00.000+0200},
author = {Li, Deqiang and Baral, Ramesh and Li, Tao and Wang, Han and Li, Qianmu and Xu, Shouhuai},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/287bc38cf27fb800d366ba03d10a4dfef/dblp},
ee = {http://arxiv.org/abs/1809.06498},
interhash = {18919dd5ff80ba0b8aa007b0f925738c},
intrahash = {87bc38cf27fb800d366ba03d10a4dfef},
journal = {CoRR},
keywords = {dblp},
timestamp = {2019-09-27T09:33:54.000+0200},
title = {HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr1809.html#abs-1809-06498},
volume = {abs/1809.06498},
year = 2018
}