Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Machine Unlearning on SVHN (remaining set Dr)
Loading...
99.84
Accuracy
Fine-tune
40.4664
55.8807
71.295
86.7093
Jun 15, 2026
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Fine-tune
Unlearning Approach=Fi...
2026.06
99.84
Certified Hessian
Unlearning Approach=Ce...
2026.06
99.78
Relabel with Fine-tune
Unlearning Approach=Re...
2026.06
99.75
Adversarial Retrain
Unlearning Approach=Ad...
2026.06
99.63
Pre-unlearn
Unlearning Approach=Pr...
2026.06
99.29
Hessian
Unlearning Approach=He...
2026.06
99.08
Retrain
Unlearning Approach=Re...
2026.06
98.79
Gradient Ascent with Fine-tune
Unlearning Approach=GA...
2026.06
98.06
Fisher
Unlearning Approach=Fi...
2026.06
96.44
Gradient Ascent
Unlearning Approach=GA...
2026.06
43.92
Relabel
Unlearning Approach=Re...
2026.06
42.75
Feedback
Search any
task
Search any
task