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Issues list

how to share labels
#54 opened Dec 19, 2024 by dhejyuyr
A question about the theoretical complexity of Private Compare
#53 opened Dec 9, 2024 by lwxxxxxxx
'funcRELUPrime' function produces inconsistent 'b' sharing when printed by different parties
#51 opened Apr 26, 2024 by lcy5201314
2
Save the model after training and make prediction
#50 opened Feb 8, 2023 by IrinaKarmatskikh
A question about calculating Pow in the paper and code
#48 opened Oct 6, 2022 by zewen-s
An Error in the Calculation of Communication Amount
#46 opened Jul 21, 2022 by XenonKos
Weird communication results
#45 opened Jul 5, 2022 by khoaguin
2
How to run falcon in the network environment
#43 opened Jun 22, 2022 by Atbnsanw
1
How to load CIFAR-10 and ImageNet dataset?
#42 opened Jun 9, 2022 by llCurious
3
The security of division protocol
#41 opened May 30, 2022 by wercsrsr
1
The security of division protocol
#40 opened May 28, 2022 by wercsrsr
"Not managing to connect" problem when running using LAN
#39 opened May 24, 2022 by khoaguin
4
Using Randomness function of AESObject
#38 opened May 16, 2022 by chenshuyuhhh
2
Reproducing the accuracy results
#36 opened Apr 7, 2022 by HuangPZ
10
New bug - Segmentation fault on layer push_back on VGG16
#34 opened Mar 17, 2022 by HuangPZ
5
Incomplete Implementation of getAccuracy() in NeuralNetwork.cpp
#29 opened Feb 21, 2022 by andeskyl
17
How to reconduct the experiment
#28 opened Feb 21, 2022 by xsk0206
2
funcMatMul () require number range?
#26 opened Jan 18, 2022 by aibohang
1
Large error
#25 opened Jan 18, 2022 by aibohang
1
How to get training accuracy?
#23 opened Dec 3, 2021 by aanand300
4
Batch Normalization protocol does not match code implementation.
#22 opened Nov 10, 2021 by llCurious
5
relu function in falcon is much bigger than in securenn
#18 opened Sep 25, 2021 by lijin456
12
Problems of r and rPrime generation in getDividedShares() function
#13 opened Sep 9, 2021 by dujifeng
1
How to improve training accuracy?
#8 opened Mar 3, 2021 by ciciwell
7
ProTip! Adding no:label will show everything without a label.