Adog64/Adversarial-Machine-Learning-Clinic
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Adversarial-Machine-Learnin…/Filter_Analysis
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Aidan Sharpe bf2440ef86 Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
..
__pycache__
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
data
Loop over all filters and serialize results
2024-04-23 13:48:33 -04:00
images
got data for fgsm mnist, working on displaying it
2024-04-24 12:16:09 -04:00
results
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
wiki
Figure saving with proper size
2024-04-18 13:51:31 -04:00
]
Poster very much in the works. Display results working well
2024-04-29 17:30:57 -04:00
cifar10_dla.pt
Trained DLA on CIFAR-10 for 14 epochs. Achieved 82% accuracy
2024-04-25 08:36:38 -04:00
cifar10.py
No success with adjusting CNN, set up VGG-16
2024-04-25 14:41:00 -04:00
cifar_cnn.pth
No success with adjusting CNN, set up VGG-16
2024-04-25 14:41:00 -04:00
cifar_vgg.pth
Trained VGG16 on CIFAR-10, displayed results
2024-04-28 11:19:06 -04:00
CIFAR-10_FGSM_3d.png
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
CIFAR-10_FGSM_highest_rank.png
Poster very much in the works. Display results working well
2024-04-29 17:30:57 -04:00
CIFAR-10_FGSM_performance_map.png
Poster very much in the works. Display results working well
2024-04-29 17:30:57 -04:00
DatasetImage.png
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
defense_filters.py
Trained CIFAR-10 CNN, 60% accuracy, switching to DLA
2024-04-24 21:24:48 -04:00
difference.png
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
display_results.py
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
dla.py
Trained CIFAR-10 CNN, 60% accuracy, switching to DLA
2024-04-24 21:24:48 -04:00
Filter_Performance_Against_FGSM_Attack_With_Snapped.png
Implemented reduced color space (snapped color) filter
2024-04-05 17:18:25 -04:00
Filter_Performance_Against_FGSM_Attack.png
Implemented reduced color space (snapped color) filter
2024-04-05 17:18:25 -04:00
kuwahara_FGSM_performance.png
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
mnist_cnn_bilateral.pt
Models trained with various filters; kuwahara filter defense
2024-04-04 13:50:35 -04:00
mnist_cnn_filtered.pt
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
mnist_cnn_gaussian_blur.pt
Models trained with various filters; kuwahara filter defense
2024-04-04 13:50:35 -04:00
mnist_cnn_unfiltered.pt
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
MNIST_FGSM_3d.png
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
MNIST_FGSM_highest_rank.png
Poster very much in the works. Display results working well
2024-04-29 17:30:57 -04:00
MNIST_FGSM_performance_map.png
Poster very much in the works. Display results working well
2024-04-29 17:30:57 -04:00
mnist.py
Models trained with various filters; kuwahara filter defense
2024-04-04 13:50:35 -04:00
mplot_3d_helper.py
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
New_Snapped_Performace.png
New implementation of color snapping
2024-04-06 22:31:31 -04:00
Plurality_Vote_Accuracy_Agaisnt_Individual_Filters_0.025_epsilon_step.png
Decreased epsilon step size to 0.025
2024-04-10 12:23:55 -04:00
Plurality_Vote_Accuracy_Agaisnt_Individual_Filters.png
1-Bit, color snapping, and pluality vote accuracies
2024-04-07 12:04:46 -04:00
reformat_data.py
Results successfully displayed as matplotlib bar3d
2024-04-30 23:02:14 -04:00
test_defenses.py
Trained VGG16 on CIFAR-10, displayed results
2024-04-28 11:19:06 -04:00
unfiltered_FGSM_performance.png
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
vgg.py
No success with adjusting CNN, set up VGG-16
2024-04-25 14:41:00 -04:00
whale_full.png
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
Whale-Attacked.png
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
Whale-Original.png
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00