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Evaluate cross-validated performance of MNIST classifier with various levels of filter intervention #6

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opened 2024-02-29 13:20:21 -05:00 by Adog64 · 0 comments
Adog64 commented 2024-02-29 13:20:21 -05:00
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The performance of the following cases should be evaluated using cross-validation:

Training Test
Clean Clean
Clean Attacked
Clean Filtered (Not Attacked)
Clean Filtered (Attacked)
Filtered Filtered (Not Attacked)
Filtered Filtered (Attacked)
The performance of the following cases should be evaluated using cross-validation: | Training | Test | |----------|-------------------------| | Clean | Clean | | Clean | Attacked | | Clean | Filtered (Not Attacked) | | Clean | Filtered (Attacked) | | Filtered | Filtered (Not Attacked) | | Filtered | Filtered (Attacked) |
Adog64 added this to the Denoising Filter as a Defense project 2024-02-29 13:20:21 -05:00
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Reference: Adog64/Adversarial-Machine-Learning-Clinic#6
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