Local Private Hypothesis Testing: Chi-Square Tests
Authors: Marco Gaboardi, Ryan Rogers
ICML 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We then present experimental results showing the power of the different tests...Empirical Results. We then empirically compare the power between Local Noise GOF with Laplace noise in Algorithm 1, Local Gen RRGOF in Algorithm 3, and Local Bit Flip GOF in Algorithm 5. |
| Researcher Affiliation | Academia | 1 University at Buffalo, Buffalo, NY, USA 2University of Pennsylvania, Philadelphia, PA, USA. |
| Pseudocode | Yes | Algorithm 1 Locally Private GOF Test:Local Noise GOF |
| Open Source Code | No | The paper does not provide any concrete access to source code (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described in this paper. |
| Open Datasets | No | The paper describes how data is simulated or generated based on statistical distributions ("sampled i.i.d. from Multinomial(1,p)") but does not provide concrete access information (link, DOI, repository, or formal citation with authors/year) for a publicly available or open dataset. |
| Dataset Splits | No | The paper describes experiments based on simulated data to evaluate statistical power and Type I error but does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) for training, validation, or testing. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers like Python 3.8, CPLEX 12.4) needed to replicate the experiment. |
| Experiment Setup | Yes | In our experiments we fix α = 0.05 and ϵ {1, 2, 4}. ... For Local Noise GOF with Laplace noise, we will use m = 999 samples in our Monte Carlo simulations. |