Overparameterized DNNs enable more effective machine unlearning for privacy and bias removal via localized decision-region adjustments, with performance depending on method access to forgotten data.
The construction of the plane given three images is as explained in [17]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks?
Overparameterized DNNs enable more effective machine unlearning for privacy and bias removal via localized decision-region adjustments, with performance depending on method access to forgotten data.