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Adversarial-Machine-Learning-Clinic
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Aidan Sharpe
df7ac8b236
Decreased epsilon step size to 0.025
2024-04-10 12:23:55 -04:00
data/MNIST
/raw
Tested models with filtered and unfiltered training data
2024-03-05 13:31:22 -05:00
Filter_Analysis
Decreased epsilon step size to 0.025
2024-04-10 12:23:55 -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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