Updates to the k-anonymity server explainer #406
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Hi @michaelkleber, here's another update to the k-anonymity explainer. |
FLEDGE_k_anonymity_server.md
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| [k-anonymity](https://en.wikipedia.org/wiki/K-anonymity) is a privacy concept | ||
| that provides some protection against users being individually reidentified | ||
| within a data set. The concept itself is simple: to meet a k-anonymity | ||
| threshold at least $k$ different users must be present in the same data set. |
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Hm, I don't think this is quite what you mean — you can have lots of different people "present in the same dataset" without getting any k-anonymity.
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Clarified that we count users per-object not users present per dataset.
FLEDGE_k_anonymity_server.md
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| The [FLEDGE](FLEDGE.md) proposal calls for k-anonymity thresholds on several | ||
| features. The first threshold is before interest groups are updated. A browser | ||
| should not request an interest group update unless there are at least $k$ |
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Let's say "...should not request an interest group update from an untrusted server unless..."
Since #333 is about the possibility of using trusted servers for this, let's be clear on that as an alternative to k-anonymity.
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Sure, added that qualifier.
FLEDGE_k_anonymity_server.md
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| Each of these use cases is aggregating counts of users towards $k$ across | ||
| many browsers. They require taking local browser state, i.e. data generated | ||
| within browser platform APIs, counting aggregates among the set of all browsers | ||
| and users, and reporting back to all browsers the results of this counting. |
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Well, not to all browsers!...
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Clarified that this is only some browsers that are contributing to counts and/or interested in them.
SHA: 78d5889 Reason: push, by michaelkleber Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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