![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
BibTeX record journals/mlc/Deniz-SuarezPVS20
@article{DBLP:journals/mlc/Deniz-SuarezPVS20, author = {Oscar D{\'{e}}niz{-}Su{\'{a}}rez and An{\'{\i}}bal Pedraza and Noelia V{\'{a}}llez and Jes{\'{u}}s Salido and Gloria Bueno}, title = {Robustness to adversarial examples can be improved with overfitting}, journal = {Int. J. Mach. Learn. Cybern.}, volume = {11}, number = {4}, pages = {935--944}, year = {2020}, url = {https://doi.org/10.1007/s13042-020-01097-4}, doi = {10.1007/S13042-020-01097-4}, timestamp = {Sun, 12 Nov 2023 02:19:03 +0100}, biburl = {https://dblp.org/rec/journals/mlc/Deniz-SuarezPVS20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.