THE VIDEO SHELF · differential privacy
Protecting Privacy with MATH (Collab with the Census)
minutephysics, in collaboration with the US Census Bureau, explains differential privacy and why the 2020 census adds noise to protect individuals' data. It walks through how statistics can leak private information.
Why HN readers recommended it
Linked as the clearest technical explainer of differential privacy and the census, and of why aggregate data can still compromise privacy.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- minutephysics
- Topic
- differential privacy
- Format
- explainer
- Level
- intro
- HN recommenders in dataset
- 2
- HN mentions in dataset
- 3
- Recommendation years in dataset
- 2020–2022
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Your comment reminded me of this minutephysics video about the census. [VIDEO] It a great walkthrough of the "privacy doom principle."
Zacru on Hacker News · 2021-04
In Cohort IDs can be collected over time to create cross-site tracking IDsTechnical explanation by minutephysics: [VIDEO] The amount of privacy is configurable, and researchers who would like to tune it (in either direction) can make a plea so the public can decide the amount of privacy loss they're willing give up in order to aid research. …
achille on Hacker News · 2022-03
In Why the 2020 census has 9 fake people in a single house
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.