aranganath
commented
2 years ago Closing this issue since majority of this is done.
Closed aranganath closed 2 years ago
aranganath
commented
2 years ago Closing this issue since majority of this is done.
Follow sequentially: Steps for both Baseline and cluster Step 1: For both: Train on clean images (not separately) (use script and save weights) Step 2: For adversarial examples: Create using the 'clean' trained model Step 3: For baseline: Train on adversarial images created in step 2 (Only using training) (only 1 epsilon) Step 4: For baseline: Test on adversarial images created in step 2 (Testing samples created from same epsilon) Step 5: For baseline: Test on adversarial images created in step 2 (Testing samples created from different epsilon) Step 6: For cluster: Create DCT examples from step 2 and clean set Step 7: For cluster: Perform clustering on DCT examples Step 8: For cluster: Test the cluster on DCT examples of the adversarial test set. (same epsilon) Step 9: For cluster: Test the cluster on DCT examples of the adversarial test set. (different epsilon)
AFTER: TSNE! and PLOT!