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Robust NAS under adversarial training: benchmark, theory, and beyond

Robust NAS under adversarial training: benchmark, theory, and beyond

19 March 2024
Yongtao Wu
Fanghui Liu
Carl-Johann Simon-Gabriel
Grigorios G. Chrysos
V. Cevher
    AAML
    OOD
ArXivPDFHTML

Papers citing "Robust NAS under adversarial training: benchmark, theory, and beyond"

6 / 6 papers shown
Title
Robustness in deep learning: The good (width), the bad (depth), and the
  ugly (initialization)
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)
Zhenyu Zhu
Fanghui Liu
Grigorios G. Chrysos
V. Cevher
27
19
0
15 Sep 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge
Adel Bibi
Riccardo Volpi
Amartya Sanyal
Philip H. S. Torr
Grégory Rogez
P. Dokania
AAML
46
45
0
02 Feb 2022
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
44
100
0
07 Oct 2021
Understanding and Robustifying Differentiable Architecture Search
Understanding and Robustifying Differentiable Architecture Search
Arber Zela
T. Elsken
Tonmoy Saikia
Yassine Marrakchi
Thomas Brox
Frank Hutter
OOD
AAML
66
365
0
20 Sep 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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