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Google (DeepMind / Gemini) published google-deepmind/privately-counting-distinct-elements (Python). This repository signal exposes tooling, eval, infrastructure, or model-adjacent work before it may appear in a launch post. High-signal details: repo google-deepmind/privately-counting-distinct-elements · language Python. onlylabs links this event to 1 captured evidence page and 6 related repo signals. It also maps to Safety and policy in the data-business radar.

Google (DeepMind / Gemini) Repo: google-deepmind/privately-counting-distinct-elements

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GitHub/github.com/google-deepmind/privately-counting-distinct-elements

google-deepmind/privately-counting-distinct-elements repository metadata

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published Jan 2, 2024seen 5dcaptured 12hhttp 200method plain

google-deepmind/privately-counting-distinct-elements

Description: Code accompanying "Counting Distinct Elements Under Person-Level Differential Privacy"

Language: Python

License: Apache-2.0

Stars: 3

Forks: 0

Open issues: 7

Created: 2024-01-02T19:17:27Z

Pushed: 2026-04-18T01:37:07Z

Default branch: main

Fork: no

Archived: no

README: This repository contains the code for running experiments for Counting Distinct Elements Under Person-Level Differential Privacy. This is not an officially supported Google product.

Note that the tests were mainly manual and the auto tests in the code are really weak.