#auditing Tech News.
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DevGoogle Research3 days ago
New framework for auditing machine unlearningA new framework called Regularized f-Divergence Kernel Tests, presented at AISTATS 2026, makes auditing machine unlearning more sensitive and accurate. The method uses two-sample testing to verify if a model truly forgot specific training data, addressing computational costs and statistical power loss in large models.
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