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JonasGeiping
/
invertinggradients
Algorithms to recover input data from their gradient signal through a neural network
MIT License
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how to extract intermediate images before the reconstructed output in ipynb notebooks.
#15
ShristiDasBiswas
closed
1 month ago
3
about gradient
#14
zzzhhhlll
closed
1 year ago
12
Update models.py
#13
MohithCiga
closed
1 year ago
3
Hyperparameter settings for multiple clients in fed average
#12
Rahn80643
closed
1 year ago
2
How many images reconstructed given batch size > 1?
#11
ruotongyu
closed
1 year ago
4
Is this method suitable for attacking the vit model?
#10
Amazingren
closed
2 years ago
2
some question about label_flip
#9
lhq12
closed
2 years ago
2
Reproducibility issue
#8
soheejun
closed
3 years ago
6
How do you handle the pairing when batch size > 1
#7
zjysteven
closed
3 years ago
2
Create Target Gradient in Train Mode
#6
Siyuan89
closed
3 years ago
2
Licensing the code
#5
dimasquest
closed
3 years ago
1
About loss_step function
#4
zliangak
closed
3 years ago
1
factor used in calculating PSNR
#3
zliangak
closed
3 years ago
5
different losses used in generating target gradient and training input data
#2
zliangak
closed
3 years ago
3
TypeError: eq() received an invalid combination of arguments - got (str), but expected one of:
#1
MrLinNing
closed
4 years ago
2