{"id":28458804,"url":"https://github.com/openmined/pydpvalidator","last_synced_at":"2026-03-07T02:33:26.545Z","repository":{"id":103100072,"uuid":"274099324","full_name":"OpenMined/PyDPValidator","owner":"OpenMined","description":"Validation assets for core OpenMined libraries","archived":false,"fork":false,"pushed_at":"2020-07-14T12:51:24.000Z","size":138,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-06-07T00:41:04.314Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/OpenMined.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null},"funding":{"github":"openmined","open_collective":"openmined"}},"created_at":"2020-06-22T09:48:59.000Z","updated_at":"2022-07-22T15:11:38.000Z","dependencies_parsed_at":"2023-07-22T13:31:59.358Z","dependency_job_id":null,"html_url":"https://github.com/OpenMined/PyDPValidator","commit_stats":{"total_commits":8,"total_committers":3,"mean_commits":"2.6666666666666665","dds":0.5,"last_synced_commit":"291cc100894fdc8df7295bc40d5067873f2e3392"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/OpenMined/PyDPValidator","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenMined%2FPyDPValidator","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenMined%2FPyDPValidator/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenMined%2FPyDPValidator/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenMined%2FPyDPValidator/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/OpenMined","download_url":"https://codeload.github.com/OpenMined/PyDPValidator/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenMined%2FPyDPValidator/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263111294,"owners_count":23415421,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-06-07T00:39:54.084Z","updated_at":"2025-10-14T16:11:01.942Z","avatar_url":"https://github.com/OpenMined.png","language":"Jupyter Notebook","funding_links":["https://github.com/sponsors/openmined","https://opencollective.com/openmined"],"categories":[],"sub_categories":[],"readme":"# PyDPValidator \n\nThis repo adapts code from https://github.com/xiyangl3/adp-estimator/ to apply the techniques in that repo's [accompanying paper, Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases](https://arxiv.org/abs/1905.10335) to examining [PyDP](https://github.com/OpenMined/PyDP).\n## Dependencies\n\n* To run the experiments, you need to have the following libraries installed:\n    \n1. python = 3.6\n2. numpy\n3. scipy\n\n* The coefficient of best polynomial approximation are pre-computed and stored as \".mat\" file. The coefficient of Chebyshev polynomials of the first kind are stored as \".npy\" file. \n\n* To get the coefficient of best polynomial approximation, you need to install Chebfun in Matlab through http://www.chebfun.org/\n\n* To get the coefficient of Chebyshev polynomials, you need to install:\n\n1. sympy\n\n\n## Citing this work\n\nYou are encouraged to cite orginal paper for acedamic research:\n\n```bibtex\n@inproceedings{liu2019minimax,\n  title={Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases},\n  author={Liu, Xiyang and Oh, Sewoong},\n  booktitle={Advances in Neural Information Processing Systems},\n  pages={2414--2425},\n  year={2019}\n}\n```\n\n## License\n[MIT](https://github.com/xiyangl3/adp-estimator/blob/master/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenmined%2Fpydpvalidator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopenmined%2Fpydpvalidator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenmined%2Fpydpvalidator/lists"}