arXiv (All)
open access
The Binary Tree Mechanism is Optimal for Differentially Private Continual Counting
Private continual counting is a fundamental problem in differential privacy: given a binary stream of length $n$, where each $1$ corresponds to the contribution of one individual, the goal is to release all running counts while protecting the privacy of each individual. For fixed privacy parameters,
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The Binary Tree Mechanism is Optimal for Approximate Differentially Private Continual Counting#329020
- Quantum Advantage for Two-Party Differential Privacy#1160914
- Quantum Advantage for Two-Party Differential Privacy#1157461
- Making the most of leftovers: Improved privacy amplification for quantum key distribution#1142907
- Private Information Retrieval With Arbitrary Privacy Requirements for Graph-Based Storage#175108
Record · ID 1035546
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive