Hanxun Huang, Yisen Wang 0001, Sarah M. Erfani, Quanquan Gu, James Bailey 0001, Xingjun Ma. Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 5545-5559, 2021. [doi]
@inproceedings{HuangWEGBM21,
title = {Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks},
author = {Hanxun Huang and Yisen Wang 0001 and Sarah M. Erfani and Quanquan Gu and James Bailey 0001 and Xingjun Ma},
year = {2021},
url = {https://proceedings.neurips.cc/paper/2021/hash/2bd7f907b7f5b6bbd91822c0c7b835f6-Abstract.html},
researchr = {https://researchr.org/publication/HuangWEGBM21},
cites = {0},
citedby = {0},
pages = {5545-5559},
booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}