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Toward Adversarial Robustness by Diversity in an Ensemble of Specialized
  Deep Neural Networks

Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks

17 May 2020
Mahdieh Abbasi
Arezoo Rajabi
Christian Gagné
R. Bobba
    AAML
ArXiv (abs)PDFHTML

Papers citing "Toward Adversarial Robustness by Diversity in an Ensemble of Specialized Deep Neural Networks"

8 / 8 papers shown
Towards Inference Efficient Deep Ensemble Learning
Towards Inference Efficient Deep Ensemble LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
172
17
0
29 Jan 2023
Learning Robust Kernel Ensembles with Kernel Average Pooling
Learning Robust Kernel Ensembles with Kernel Average Pooling
P. Bashivan
Adam Ibrahim
Amirozhan Dehghani
Yifei Ren
OOD
346
7
0
30 Sep 2022
The robust way to stack and bag: the local Lipschitz way
The robust way to stack and bag: the local Lipschitz way
Thulasi Tholeti
Sheetal Kalyani
AAML
200
5
0
01 Jun 2022
Measuring the Contribution of Multiple Model Representations in
  Detecting Adversarial Instances
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
D. Steinberg
P. Munro
AAML
78
0
0
13 Nov 2021
QuantifyML: How Good is my Machine Learning Model?
QuantifyML: How Good is my Machine Learning Model?
Mario Gleirscher
D. Gopinath
C. Păsăreanu
100
2
0
25 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
340
37
0
08 Oct 2021
Adversarial Training with Stochastic Weight Average
Adversarial Training with Stochastic Weight AverageInternational Conference on Information Photonics (ICIP), 2020
Joong-won Hwang
Youngwan Lee
Sungchan Oh
Yuseok Bae
OODAAML
171
14
0
21 Sep 2020
Robustness Verification for Classifier Ensembles
Robustness Verification for Classifier Ensembles
Dennis Gross
N. Jansen
Guillermo A. Pérez
S. Raaijmakers
AAML
138
8
0
12 May 2020
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