hello
hello
Labels

📌S Retain class distribution for seed 6:
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 6:
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
78090990
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 1.1907, val_loss: 0.8078, val_acc: 72.9297
Epoch [1], last_lr: 0.00010, train_loss: 1.0112, val_loss: 0.7634, val_acc: 75.1465
Epoch [2], last_lr: 0.00010, train_loss: 0.8755, val_loss: 0.7407, val_acc: 74.7461
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: 74.74609375
Retain Accuracy: 86.65154266357422
Zero-Retain Forget (ZRF): 0.946044385433197
Membership Inference Attack (MIA): 0.3432
Forget vs Retain Membership Inference Attack (MIA): 0.6605
Forget vs Test Membership Inference Attack (MIA): 0.5855
Test vs Retain Membership Inference Attack (MIA): 0.54475
Train vs Test Membership Inference Attack (MIA): 0.5315
Forget Set Accuracy (Df): 69.30606842041016
Method Execution Time: 952.80 seconds
