# Google Research — New framework for auditing machine unlearning

- Company: Google Research (research.google)
- Announced: 2026-06-10T17:34:55+00:00
- Category: research-paper
- Subject: Research
- Source: https://research.google/blog/new-framework-for-auditing-machine-unlearning/
- Record: https://forck.live/items/1334-new-framework-for-auditing-machine-unlearning

Google Research introduces Regularized f-Divergence Kernel Tests, a new framework for auditing machine unlearning that uses statistical divergence measures to verify whether a model has forgotten specific data, presented at AISTATS 2026.

## Evidence

Verbatim from https://research.google/blog/new-framework-for-auditing-machine-unlearning/:

> We introduce Regularized f-Divergence Kernel Tests, presented at AISTATS 2026, a new framework designed to make auditing ML models much more sensitive, flexible, and accurate.

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Record: https://forck.live/items/1334-new-framework-for-auditing-machine-unlearning
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md
