SAFER is a continual unlearning method that prevents progressive accuracy loss on retain data and reversal of forgetting by enforcing representation stability and negative logit margins.
A unified framework for continual learning and unlearning.arXiv preprint arXiv:2408.11374
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
BID-LoRA uses bi-directional low-rank adapters with retain/new/unlearn pathways and escape unlearning to enable continual learning and unlearning while minimizing knowledge leakage and parameter updates.
citing papers explorer
-
Robust Continual Unlearning against Knowledge Erosion and Forgetting Reversal
SAFER is a continual unlearning method that prevents progressive accuracy loss on retain data and reversal of forgetting by enforcing representation stability and negative logit margins.
-
BID-LoRA: A Parameter-Efficient Framework for Continual Learning and Unlearning
BID-LoRA uses bi-directional low-rank adapters with retain/new/unlearn pathways and escape unlearning to enable continual learning and unlearning while minimizing knowledge leakage and parameter updates.