Proposes a self-aware unlearning method inspired by hypnopaedia that uses model inversion and hypothesis testing to detect and detach backdoor triggers from machine learning models.
Demon in the variant: Sta- tistical analysis of DNNs for robust backdoor contamination detection
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Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
Proposes a self-aware unlearning method inspired by hypnopaedia that uses model inversion and hypothesis testing to detect and detach backdoor triggers from machine learning models.