%0 Conference Paper %1 conf/dsa/LiuLPWA20 %A Liu, Yudi %A Lu, Minyan %A Peng, Di %A Wang, Jie %A Ai, Jun %B DSA %D 2020 %I IEEE %K dblp %P 162-167 %T Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation. %U http://dblp.uni-trier.de/db/conf/dsa/dsa2020.html#LiuLPWA20 %@ 978-0-7381-2422-3

@inproceedings{conf/dsa/LiuLPWA20, added-at = {2021-02-02T00:00:00.000+0100}, author = {Liu, Yudi and Lu, Minyan and Peng, Di and Wang, Jie and Ai, Jun}, biburl = {https://www.bibsonomy.org/bibtex/2d38bbb823ed109a0c7581fbb68eb021d/dblp}, booktitle = {DSA}, crossref = {conf/dsa/2020}, ee = {https://doi.org/10.1109/DSA51864.2020.00029}, interhash = {77e0d7cf52089d916a318ef9516595cf}, intrahash = {d38bbb823ed109a0c7581fbb68eb021d}, isbn = {978-0-7381-2422-3}, keywords = {dblp}, pages = {162-167}, publisher = {IEEE}, timestamp = {2024-04-10T01:52:39.000+0200}, title = {Analysis on Adversarial Robustness of Deep Learning Model LeNet-5 Based on Data Perturbation.}, url = {http://dblp.uni-trier.de/db/conf/dsa/dsa2020.html#LiuLPWA20}, year = 2020 }