hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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: 0.02000, train_loss: 0.8096, val_loss: 0.8068, val_acc: 71.6504
Epoch [1], last_lr: 0.02000, train_loss: 0.6149, val_loss: 0.7331, val_acc: 74.4727
Epoch [2], last_lr: 0.02000, train_loss: 0.4643, val_loss: 0.7063, val_acc: 76.5820
Epoch [3], last_lr: 0.02000, train_loss: 0.3467, val_loss: 0.6996, val_acc: 77.2656
Epoch [4], last_lr: 0.02000, train_loss: 0.2488, val_loss: 0.8358, val_acc: 74.6973
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: 74.697265625
Retain Accuracy: 88.88681030273438
Zero-Retain Forget (ZRF): 0.8093469142913818
Membership Inference Attack (MIA): 0.5622
Forget vs Retain Membership Inference Attack (MIA): 0.583
Forget vs Test Membership Inference Attack (MIA): 0.489
Test vs Retain Membership Inference Attack (MIA): 0.6135
Train vs Test Membership Inference Attack (MIA): 0.541
Forget Set Accuracy (Df): 76.50965118408203
Method Execution Time: 985.26 seconds
