aamir-mustafa pcl-adversarial-defense issues - Githubissues

aamir-mustafa / pcl-adversarial-defense

Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019

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Mapping function in code

#18 pankhurivanjani opened 2 years ago
0
Models used for MNIST

#17 ashwath98 opened 2 years ago
0
Lpc loss

#16 Jeevi10 opened 3 years ago
0
The performance of provided "robust_model.pth.tar" is not ideal

#15 Harry-Up opened 4 years ago
2
Missing CW attack

#14 shairoz closed 4 years ago
4
Do we need to load softmax_train.py trained model and then load the pretrained model in pcl_training.py

#13 machanic closed 4 years ago
1
Clear up confusion with the Proximity and Con_Proximity

#12 rowedenny closed 4 years ago
1
Clearing up some concepts

#11 prateekm08 closed 4 years ago
1
Cant get the reported accuracy by running the training scripts.

#10 Amose-Yao closed 4 years ago
1
Proxity and Conproxity losses share different prototype centers in code

#9 krishnakanthnakka closed 4 years ago
1
Loss weights for different datasets

#8 krishnakanthnakka closed 4 years ago
1
What is "baseline" mean on table 8 & 9

#7 rowedenny closed 4 years ago
1
Softmax model not converging

#6 krishnakanthnakka closed 4 years ago
2
CIFAR10_PCL_AdvTrain_PGD.pth.tar and CIFAR10_PCL_AdvTrain_FGSM.pth.tar ?

#5 AliShahin closed 4 years ago
1
Wrong normalization

#4 Line290 closed 5 years ago
1
loss function in eq5 goes negative infinity?

#3 rowedenny closed 5 years ago
1
black box attack

#2 wahrheit-git closed 5 years ago
4
Update README.md

#1 salman-h-khan closed 5 years ago
0