AdaProb performs machine unlearning by substituting final-layer output probabilities with optimized uniform pseudo-probabilities and updating model weights.
Deep unlearning: Fast and efficient training- free approach to controlled forgetting
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2representative citing papers
citing papers explorer
-
AdaProb: Efficient Machine Unlearning via Adaptive Probability
AdaProb performs machine unlearning by substituting final-layer output probabilities with optimized uniform pseudo-probabilities and updating model weights.
- Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data