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: 0.02000, train_loss: 0.8153, val_loss: 0.7679, val_acc: 73.2520
Epoch [1], last_lr: 0.02000, train_loss: 0.6076, val_loss: 0.7188, val_acc: 75.5469
Epoch [2], last_lr: 0.02000, train_loss: 0.4665, val_loss: 0.7077, val_acc: 75.9180
Epoch [3], last_lr: 0.02000, train_loss: 0.3494, val_loss: 0.8994, val_acc: 71.7578
Epoch [4], last_lr: 0.02000, train_loss: 0.2487, val_loss: 0.7918, val_acc: 75.7520
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: 75.751953125
Retain Accuracy: 90.72887420654297
Zero-Retain Forget (ZRF): 0.8153234720230103
Membership Inference Attack (MIA): 0.553
Forget vs Retain Membership Inference Attack (MIA): 0.619
Forget vs Test Membership Inference Attack (MIA): 0.4955
Test vs Retain Membership Inference Attack (MIA): 0.62575
Train vs Test Membership Inference Attack (MIA): 0.5445
Forget Set Accuracy (Df): 76.76815032958984
Method Execution Time: 990.83 seconds
