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SmartNoise: Tools for Differential Privacy
The SmartNoise tools allow researchers and analysts to:
- Use SQL dialect to create differentially private results over tabular data stores
- Perform privacy algorithm stochastic testing against differential privacy modules
The SmartNoise 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.
3 maintainers
Release files for opendp-smartnoise 0.1.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| opendp-smartnoise-0.1.4.2.tar.gz | 147.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| opendp_smartnoise-0.1.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 340.8 kB
Release files / opendp-smartnoise-0.1.4.2.tar.gz
| Download URL | opendp-smartnoise-0.1.4.2.tar.gz |
|---|---|
| Size | 147.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10
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Release files / opendp_smartnoise-0.1.4.2-py3-none-any.whl
| Download URL | opendp_smartnoise-0.1.4.2-py3-none-any.whl |
|---|---|
| Size | 193.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
edd57830d2abe1dd8254d3c0e12fe58f34a0ee8c9be293f099e45289823a6967
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BLAKE2b-256 checksum How to use checksums |
2d1071697c0be36ef45a732a7fd193af2e094a15a0822fa7f600c379193f1c40
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10
|
