AnalysisPolicy
5 days ago
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Google introduces framework for auditing machine unlearning
Regularized f-Divergence Kernel Tests, presented at AISTATS 2026, improves statistical power for verifying unlearning without accessing model internals. The method reduces the number of samples needed to detect violations, addressing computational challenges in large-scale models.
5 days ago