No project description provided
This project has been archived.
The maintainers of this project have marked this project as archived. No new releases are expected.
Project description
WhiteNoise: Tools for Differential Privacy
The WhiteNoise tools allow researchers and analysts to:
- Use SQL dialect to ceate differentially private results over tabular data stores
- Host a service to compose queries from heterogeneous differential privacy modules (including non-SQL) against shared privacy budget
- Perform black-box stochastic testing against differential privacy modules
The WhiteNoise system is currently aimed at scenarios where the researcher is trusted by the data owner. Future releases will focus on hardened scenarios where the researcher or analyst is untrusted.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file opendp-whitenoise-0.1.2.tar.gz.
File metadata
- Download URL: opendp-whitenoise-0.1.2.tar.gz
- Upload date:
- Size: 97.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7825f007d4e95f2981671abdbf5b17ccf9a8fb1b1e3cddcc590081aeae7bac6a
|
|
| MD5 |
179adc0b028dd35e4dca996810bf1576
|
|
| BLAKE2b-256 |
6b1b69862e522d6e03ff8fd78bfb8a2fcf0096b5bb054fa9e9404e7348a49bc1
|
File details
Details for the file opendp_whitenoise-0.1.2-py3-none-any.whl.
File metadata
- Download URL: opendp_whitenoise-0.1.2-py3-none-any.whl
- Upload date:
- Size: 134.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.1 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4942a82c0b0582eb4e915391ca32247b4ae4a037031269c4363646332cb293f3
|
|
| MD5 |
fd7f3428ffc5946fb7a61e6905c5b578
|
|
| BLAKE2b-256 |
6f7fb4621aa150d9aebc1ecc81aba2f76ddd15c2d812da13312ec201f14673a4
|
