jayaram-r adversarial-detection issues

jayaram-r / adversarial-detection

Code and experiments for the adversarial detection paper

MIT License

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Cifar10 Resnet 34 model without activation functions

#99 jS5t3r closed 2 years ago
1
Why is this noisy data generated?

#98 jS5t3r closed 2 years ago
3
Details on parameters of adversarial attack?

#97 machengcheng2016 opened 2 years ago
2
example for providing data from fgsm attack on cifar10 and how to set the output folder for layers.py

#96 jS5t3r closed 2 years ago
6
Adaptive Attacks

#95 Yeez-lee opened 3 years ago
0
data_ty.npy file missing

#94 wanghangpsu opened 3 years ago
1
Ablation experiments, test statistic plots etc

#93 jayaram-r closed 3 years ago
0
Plots of the test statistics from the layers

#92 jayaram-r closed 3 years ago
0
Combined classification performance

#91 jayaram-r closed 4 years ago
0
Performance metrics as a function of perturbation norm

#90 jayaram-r closed 4 years ago
0
Plot changes

#89 jayaram-r closed 4 years ago
0
Plot changes for the paper

#88 jayaram-r closed 4 years ago
0
Full implementation of deep mahalanobis method

#87 jayaram-r closed 4 years ago
0
Changes and bug-fixes from testing

#86 jayaram-r closed 4 years ago
0
Changes to deep mahalanobis detector

#85 jayaram-r closed 4 years ago
0
Changes to adversarial data loader + refactoring

#84 jayaram-r closed 4 years ago
0
Bug fix and some refactoring to the nets

#83 jayaram-r closed 4 years ago
0
Changes to generate noisy data on the fly

#82 jayaram-r closed 4 years ago
0
Updates to the odds-are-odd method

#81 jayaram-r closed 4 years ago
0
Changes to run detection experiments on the custom attack

#80 jayaram-r closed 4 years ago
0
Updates to custom attack

#79 jayaram-r closed 4 years ago
0
Setting the kernel scale and wrapping up the attack implementation

#78 jayaram-r closed 4 years ago
0
Updates to custom attack

#77 jayaram-r closed 4 years ago
0
Change sum-exp to log-sum-exp

#76 jayaram-r closed 4 years ago
0
Changes from code review

#75 jayaram-r closed 4 years ago
0
Change the order of double summation

#74 jayaram-r closed 4 years ago
0
Changes to set the kernel scale

#73 jayaram-r closed 4 years ago
0
Debugging gradient calculation

#72 jayaram-r closed 4 years ago
0
Saving the detection models to a pickle file

#71 jayaram-r closed 4 years ago
0
Fix numerical issues with input transforms

#70 jayaram-r closed 4 years ago
0
Extend the function 'sum_gaussian_kernels'

#69 jayaram-r closed 4 years ago
0
Function for computing the sum of gaussian kernels

#68 jayaram-r closed 4 years ago
0
Updates to the knn attack

#67 jayaram-r closed 4 years ago
0
Changes for new experiments

#66 jayaram-r closed 4 years ago
0
Test statistic based on the trust score at each DNN layer

#65 jayaram-r closed 4 years ago
0
Adding a faster version of DetectorLID based on batching

#64 jayaram-r closed 4 years ago
0
Save KNN indices to pickle files to avoid memory errors

#63 jayaram-r closed 4 years ago
0
Script to analyze the norm of adversarial samples

#62 jayaram-r closed 4 years ago
0
Estimating LID relative to samples from each class

#61 jayaram-r closed 4 years ago
0
Add KNN distance based test statistic

#60 jayaram-r closed 4 years ago
0
Apply min-max scaling to the LID features

#59 jayaram-r closed 4 years ago
0
Reduce memory usage by saving KNN indices to pickle files

#58 jayaram-r closed 4 years ago
0
Commenting out unused computations for speedup

#57 jayaram-r closed 4 years ago
0
Changes to reduce memory usage

#56 jayaram-r closed 4 years ago
0
Class-conditional LID detector

#55 jayaram-r closed 4 years ago
0
Add function to project layer embeddings to a fixed dimension

#54 jayaram-r closed 4 years ago
0
Change default distance metric to cosine for the LID method

#53 jayaram-r closed 4 years ago
0
Modification to the LID and LLE based test statistics

#52 jayaram-r closed 4 years ago
0
Include p-values of test statistics from layer pairs

#51 jayaram-r closed 4 years ago
0
Changes to the density-based scoring method

#50 jayaram-r closed 4 years ago
0