Evaluating Machine Unlearning in ASR
This work investigates whether existing MU algorithms and evaluation tools are suitable for Automatic Speech Recognition (ASR), and shows that both sequential and simultaneous unlearning yield worse privacy and utility than single-subject unlearning.
Diogo Dinis, Francisco Teixeira, Bhiksha Raj et al.
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