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