hello
hello

📌 S Retain class distribution for seed 7:
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 7:
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
hello
hello
{'lower_bound': 1, 'exponent': 1, 'magnitude_diff': None, 'min_layer': -1, 'max_layer': -1, 'forget_threshold': 1, 'dampening_constant': 1, 'selection_weighting': 10}
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: 89.541015625
Retain Accuracy: 91.9469985961914
Zero-Retain Forget (ZRF): 0.8376383185386658
Membership Inference Attack (MIA): 0.6322
Forget vs Retain Membership Inference Attack (MIA): 0.5195
Forget vs Test Membership Inference Attack (MIA): 0.5325
Test vs Retain Membership Inference Attack (MIA): 0.494
Train vs Test Membership Inference Attack (MIA): 0.51825
Forget Set Accuracy (Df): 92.23115539550781
Method Execution Time: 530.51 seconds
