Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. Meng, Y.; Su, J.; O'Kane, J.; and Jamshidi, P. arXiv preprint arXiv:2001.00308, 2020. $\bigstar\bigstar\bigstar$
Slides bibtex @article{meng2020ensembles,
title={Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks},
author={Meng, Ying and Su, Jianhai and O'Kane, Jason and Jamshidi, Pooyan},
journal={arXiv preprint arXiv:2001.00308},
bibbase_note = {<span style="color: red">$\bigstar\bigstar\bigstar$</span>},
url_Slides = {https://www.slideshare.net/pooyanjamshidi/ensembles-of-many-diverse-weak-defenses-can-be-strong-defending-deep-neural-networks-against-adversarial-attacks},
year={2020},
keywords = {Machine learning}
}