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
78090990
hello
hello
Epoch [0], last_lr: 0.00010, train_loss: 1.1943, val_loss: 0.7953, val_acc: 73.9648
Epoch [1], last_lr: 0.00010, train_loss: 1.0124, val_loss: 0.7436, val_acc: 75.8398
Epoch [2], last_lr: 0.00010, train_loss: 0.8710, val_loss: 0.6993, val_acc: 77.0020
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: 77.001953125
Retain Accuracy: 89.2451171875
Zero-Retain Forget (ZRF): 0.9596260190010071
Membership Inference Attack (MIA): 0.3152
Forget vs Retain Membership Inference Attack (MIA): 0.6255
Forget vs Test Membership Inference Attack (MIA): 0.589
Test vs Retain Membership Inference Attack (MIA): 0.57125
Train vs Test Membership Inference Attack (MIA): 0.5315
Forget Set Accuracy (Df): 71.3694839477539
Method Execution Time: 955.79 seconds
