A library for measuring bias amplification in machine learning models
Project description
Bias Amplification
A library for measuring bias amplification and information leakage in machine learning models.
Installation
pip install -e .
Quick Start
from bias_amplification import Leakage
from bias_amplification.attacker_models import simpleDenseModel
License
MIT
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 bias_amplification-0.1.0.tar.gz.
File metadata
- Download URL: bias_amplification-0.1.0.tar.gz
- Upload date:
- Size: 34.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d82d593b1f2792dae345923853846c0fb8f65b6867d70bf6e6c728eed6f2a96
|
|
| MD5 |
663e5d023d1d5b4bf20a1af2f7c2a28e
|
|
| BLAKE2b-256 |
f37e649fb2a9d32d6aecce681c1cc9b67cbdbe040793380f251cc8b843e7f990
|
Provenance
The following attestation bundles were made for bias_amplification-0.1.0.tar.gz:
Publisher:
publish.yml on kerner-lab/Bias-Amplification
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
bias_amplification-0.1.0.tar.gz -
Subject digest:
2d82d593b1f2792dae345923853846c0fb8f65b6867d70bf6e6c728eed6f2a96 - Sigstore transparency entry: 729770282
- Sigstore integration time:
-
Permalink:
kerner-lab/Bias-Amplification@abecbc5f1f5b06eb6743098ddeffa331bc9c67fc -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/kerner-lab
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@abecbc5f1f5b06eb6743098ddeffa331bc9c67fc -
Trigger Event:
release
-
Statement type:
File details
Details for the file bias_amplification-0.1.0-py3-none-any.whl.
File metadata
- Download URL: bias_amplification-0.1.0-py3-none-any.whl
- Upload date:
- Size: 22.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f3c27404e5173bc5ab49f78bad5c9c775f686dd0e7d39865ab53edb6057a996f
|
|
| MD5 |
96a774db68f64737f7d4f2838e999f25
|
|
| BLAKE2b-256 |
ca137702e8cfba6d0a3d9c22b4564140f6239efb887b84b61e38e6e346797c78
|
Provenance
The following attestation bundles were made for bias_amplification-0.1.0-py3-none-any.whl:
Publisher:
publish.yml on kerner-lab/Bias-Amplification
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
bias_amplification-0.1.0-py3-none-any.whl -
Subject digest:
f3c27404e5173bc5ab49f78bad5c9c775f686dd0e7d39865ab53edb6057a996f - Sigstore transparency entry: 729770283
- Sigstore integration time:
-
Permalink:
kerner-lab/Bias-Amplification@abecbc5f1f5b06eb6743098ddeffa331bc9c67fc -
Branch / Tag:
refs/tags/v0.1.0 - Owner: https://github.com/kerner-lab
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@abecbc5f1f5b06eb6743098ddeffa331bc9c67fc -
Trigger Event:
release
-
Statement type:
