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The re-identification of anonymized search logs through linking attacks and machine learning pattern matching, with a focus on Google's anonymization policies.
Google describes a multi-layered approach to log anonymization that mixes algorithmic techniques — generalization to achieve k-anonymity, l‑diversity, and differential privacy — with organizational co...
The documents provided describe intentional, explicit "account linking" mechanisms — OAuth flows, One Tap and linked-account sign-in — that connect a user's Google Account to third-party services with...
No — Google Search results can be de‑anonymized without the searcher explicitly typing personally identifiable information; re‑identification often relies on linking multiple data points, browser and ...
Academic and investigative work over the past two decades has shown that “anonymized” search and related behavioral logs are often vulnerable to re-identification through linking attacks, unique-recor...