Git-Mirrors/privacyguides.org
1
0
Fork 0
mirror of https://github.com/privacyguides/privacyguides.org.git synced 2025-07-19 21:08:57 -04:00
Code Issues Projects Releases Packages Wiki Activity

add us census

Browse source
This commit is contained in:
fria 2025-07-14 07:01:52 -05:00 • committed by GitHub
parent e4250e0e58
commit 6555000d37
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 15 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

16
blog/posts/differential-privacy.md
View file

@ -187,4 +187,18 @@ That's just based on their initial whitepaper, they've likely increased their us
Apple uses a similar method to Google, with a matrix initialized with all zeros. The input for the matrix is encoded with the SHA-256 hashing algorithm, and then bits are flipped randomly at a probablility dependent on the epsilon value.
Apple only sends a random row from this matrix instead of the entire thing in order to stay within their privacy budget.
Apple only sends a random row from this matrix instead of the entire thing in order to stay within their privacy budget.
### See What's Sent
You can see data sent with differential privacy in iOS under Settings > Privacy > Analytics > Analytics Data, it will begin with DifferentialPrivacy. On macOS, you can see these logs in the Console.
## U.S. Census
Differential privacy isn't just used by big corporations, in 2020 famously the U.S. Census used DP to protect the data of U.S. citizens for the first time.
As a massive collection of data from a large number of U.S. citizens, it's important for the census bureau to protect the privacy of census participants while still preserving the overall aggregate data.
### Impetus
Since the 1990's, the U.S. Census used a less formal injection of statistical noise into their data