MixUnlearn trains a generator to create adversarial mixup samples from forgetting and remaining data, then uses contrastive objectives to forget the target while keeping other knowledge.
For RandLabel, we tune the weight for retaining loss from {0.0001, 0.01, 0.1, 1, 10, 100}
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Adversarial Mixup Unlearning
MixUnlearn trains a generator to create adversarial mixup samples from forgetting and remaining data, then uses contrastive objectives to forget the target while keeping other knowledge.