Adog64/Adversarial-Machine-Learning-Clinic
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Adog64 343958653e Trained DLA on CIFAR-10 for 14 epochs. Achieved 82% accuracy
2024-04-25 08:36:38 -04:00
data/MNIST/raw
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
Filter_Analysis
Trained DLA on CIFAR-10 for 14 epochs. Achieved 82% accuracy
2024-04-25 08:36:38 -04:00
2024 - (Fillable) ECE Engineering Clinic Report Cover Page with Grading Components and Weights.pdf
Finished testing random noise and threshold filter
2024-04-18 15:58:30 -04:00
Adaptive_Kuwahara_filter.pdf
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
Carlini_and_Wagner.pdf
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
Dawson-Polikar - Defending_Imperceptible_Backdoor_Attacks_Via_Minimum_Detectable_SNR_Exploitation.pdf
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
DeepFool.pdf
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
Dual-Filtering-Schemes.pdf
Various filters defending unmodified mnist cnn classifier
2024-04-04 15:12:14 -04:00
engineering-clinic---engineering-design-and-impact-statement.pdf
Various filters defending unmodified mnist cnn classifier
2024-04-04 15:12:14 -04:00
Explaining_and_Harnessing_Adversarial_Examples.pdf
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
McGuire_MS_Thesis_Broad_Spectrum_Defense.pdf
Moved to separate project on Gitea
2024-02-22 13:39:09 -05:00
RobustAnisotropicDiffusionFilter.pdf
Various filters defending unmodified mnist cnn classifier
2024-04-04 15:12:14 -04:00
Xie-Wu - Feature Denoising for Improving Adversarial Robustness.pdf
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
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