Alphabeta MathHow statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Record-level scope and limits of differential privacy
Remark
The definition on this page is central, record-level privacy for add/remove adjacency. It does not by itself define client-level or local privacy, and keeping data on a device or applying secure aggregation does not establish the event inequalities in this definition. Differential privacy limits the effect of one record on a release; it does not prevent conclusions about an attribute that is strongly correlated with other records or public information.
Depends on
Used by
Dependency tree · two levels
4 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Cynthia Dwork and Aaron Roth, The Algorithmic Foundations of Differential Privacy (standard reference, not scraped)
- Salil Vadhan, The Complexity of Differential Privacy, 2017 manuscript (standard reference, not scraped)