Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks - researchr publication authors

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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]

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