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. $\bigstar\bigstar\bigstar$
Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks [link]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}
}
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