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AROID: Improving Adversarial Robustness through Online Instance-wise
  Data Augmentation

AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation

12 June 2023
Lin Li
Jianing Qiu
Michael W. Spratling
    AAML
ArXivPDFHTML

Papers citing "AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation"

4 / 4 papers shown
Title
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
27
5
0
11 Mar 2024
Improved Adversarial Training Through Adaptive Instance-wise Loss
  Smoothing
Improved Adversarial Training Through Adaptive Instance-wise Loss Smoothing
Lin Li
Michael W. Spratling
AAML
59
4
0
24 Mar 2023
Efficient and Effective Augmentation Strategy for Adversarial Training
Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
60
58
0
27 Oct 2022
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
217
675
0
19 Oct 2020
1