# Differentially Private Histogram Release on Amazon-Google large Source: [Differentially Private Histogram Release on Amazon-Google large]() Collection index: [llms.txt]() Data updated: 2026-03-17T08:31:44.026Z Evaluation of algorithms performing Differentially Private Histogram Release on the Amazon-Google large dataset, measured by metrics such as H\_orig, H\_noisy, and Delta\_H bound. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Differentially Private Histogram Release | | Dataset (including any stated split) | Amazon-Google large | | Metric | Original Entropy (H) | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 1 of 1 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Original Entropy (H)](): Higher is better; unit: SCALAR. - [Noisy Entropy (H)](): Higher is better; unit: SCALAR. - [Delta H Bound](): Lower is better; unit: SCALAR. ## Recorded results | Method | Original Entropy (H) | Result date | Report paper | | --- | --- | --- | --- | | REAEDP | 3.0279 | Not recorded | 69b8dfe80636e5bf4afbe817 | ### REAEDP Original Entropy (H): 3.0279. Result ID: 69b9116247f34ce924a1968a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"n":"100000","bins":"30","epsilon":"1.0"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.