Soft-weighted unlearning replaces binary data removal with per-sample weights from a convex quadratic program, improving fairness and robustness gains while preserving utility.
Backdoor defense with machine unlearning
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Soft Weighted Machine Unlearning
Soft-weighted unlearning replaces binary data removal with per-sample weights from a convex quadratic program, improving fairness and robustness gains while preserving utility.