![](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/ojcands/LeeC21
@article{DBLP:journals/ojcands/LeeC21, author = {Kyungmi Lee and Anantha P. Chandrakasan}, title = {Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks}, journal = {{IEEE} Open J. Circuits Syst.}, volume = {2}, pages = {843--855}, year = {2021}, url = {https://doi.org/10.1109/OJCAS.2021.3116244}, doi = {10.1109/OJCAS.2021.3116244}, timestamp = {Sat, 25 Dec 2021 15:50:58 +0100}, biburl = {https://dblp.org/rec/journals/ojcands/LeeC21.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.