No project description provided
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
opendp-whitenoise-0.1.2.tar.gz
(97.6 kB
view hashes)
Built Distribution
Close
Hashes for opendp_whitenoise-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4942a82c0b0582eb4e915391ca32247b4ae4a037031269c4363646332cb293f3 |
|
MD5 | fd7f3428ffc5946fb7a61e6905c5b578 |
|
BLAKE2b-256 | 6f7fb4621aa150d9aebc1ecc81aba2f76ddd15c2d812da13312ec201f14673a4 |