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: 0.02000, train_loss: 0.2902, val_loss: 0.9114, val_acc: 73.5840
Epoch [1], last_lr: 0.02000, train_loss: 0.2247, val_loss: 0.7571, val_acc: 77.7734
Epoch [2], last_lr: 0.02000, train_loss: 0.1395, val_loss: 0.8511, val_acc: 78.0273
Epoch [3], last_lr: 0.02000, train_loss: 0.1009, val_loss: 1.0320, val_acc: 74.4043
Epoch [4], last_lr: 0.02000, train_loss: 0.0679, val_loss: 0.9347, val_acc: 78.4375
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: 78.4375
Retain Accuracy: 95.88707733154297
Zero-Retain Forget (ZRF): 0.7444602251052856
Membership Inference Attack (MIA): 0.6546
Forget vs Retain Membership Inference Attack (MIA): 0.595
Forget vs Test Membership Inference Attack (MIA): 0.504
Test vs Retain Membership Inference Attack (MIA): 0.604
Train vs Test Membership Inference Attack (MIA): 0.58175
Forget Set Accuracy (Df): 83.49954223632812
Method Execution Time: 978.16 seconds
