Google Research
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参加 May 2017
17 フォロー中 104K ファン
Presenting Regularized f-Divergence Kernel Tests, a new framework for auditing machine unlearning and differential privacy. This method is more sensitive to localized data shifts and requires fewer samples than traditional tools. Learn more:
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