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CIFAR-10
Adversarial Defense on CIFAR-10
Metric: Accuracy (higher is better)
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#
Model
↕
Accuracy
▼
Extra Data
Paper
Date
↕
Code
1
WRN-28-10
90.03
Yes
Language Guided Adversarial Purification
2023-09-19
Code
2
Diffusion Classifier
89.85
No
Robust Classification via a Single Diffusion Model
2023-05-24
Code
3
Stochastic-LWTA/PGD/WideResNet-34-10
84.3
No
Stochastic Local Winner-Takes-All Networks Enabl...
2021-12-05
Code
4
Ours (Stochastic-LWTA/PGD/WideResNet-34-5)
83.4
No
Stochastic Local Winner-Takes-All Networks Enabl...
2021-12-05
Code
5
Ours (Stochastic-LWTA/PGD/WideResNet-34-1)
81.87
No
Stochastic Local Winner-Takes-All Networks Enabl...
2021-12-05
Code
6
ResNet18 (TRADES-ANCRA/PGD-40)
81.7
No
Enhancing Robust Representation in Adversarial T...
2023-10-05
Code
7
SLL X-Large
70.3
No
A Unified Algebraic Perspective on Lipschitz Neu...
2023-03-06
Code
8
SLL Large
69.8
No
A Unified Algebraic Perspective on Lipschitz Neu...
2023-03-06
Code
9
SLL Medium
69.1
No
A Unified Algebraic Perspective on Lipschitz Neu...
2023-03-06
Code
10
SLL Small
68.1
No
A Unified Algebraic Perspective on Lipschitz Neu...
2023-03-06
Code
11
PCL (against PGD, white box)
46.7
No
Adversarial Defense by Restricting the Hidden Sp...
2019-04-01
Code