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Discovering Robust Convolutional Architecture at Targeted Capacity: A
  Multi-Shot Approach

Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach

22 December 2020
Xuefei Ning
Jun Zhao
Wenshuo Li
Tianchen Zhao
Yin Zheng
Huazhong Yang
Yu Wang
    AAML
ArXivPDFHTML

Papers citing "Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach"

5 / 5 papers shown
Title
Exploring Architectural Ingredients of Adversarially Robust Deep Neural
  Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
46
100
0
07 Oct 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
21
31
0
09 Jun 2021
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
1