hello
hello
Labels

📌S Retain class distribution for seed 4:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 4:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
780909900
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 0.8271, val_loss: 0.7155, val_acc: 77.0312
Epoch [1], last_lr: 0.00010, train_loss: 0.6475, val_loss: 0.7325, val_acc: 77.2168
Epoch [2], last_lr: 0.00010, train_loss: 0.4711, val_loss: 0.9365, val_acc: 72.0215
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  45000
Forget Train Dl:  5000
Retain Valid Dl:  45000
Forget Valid Dl:  5000
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 5000 samples
Set2 Distribution: 5000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 72.021484375
Retain Accuracy: 94.86682891845703
Zero-Retain Forget (ZRF): 0.9459965825080872
Membership Inference Attack (MIA): 0.2428
Forget vs Retain Membership Inference Attack (MIA): 0.7745
Forget vs Test Membership Inference Attack (MIA): 0.6065
Test vs Retain Membership Inference Attack (MIA): 0.65325
Train vs Test Membership Inference Attack (MIA): 0.59925
Forget Set Accuracy (Df): 38.26746368408203
Method Execution Time: 943.38 seconds
