BlackBoxAuditing
by algofairness
Research code for auditing and exploring black box machine-learning models.
AI summary
Bias auditor
A software package for auditing and analyzing machine learning models to detect unfair biases
- stars
- 130
- forks
- 36
- watching
- 18
Similar projects
Found by comparing what the projects do, not just their names.
Model auditor
An auditing toolbox to assess the fairness of black-box predictive models
Bias auditor
Toolkit to audit and mitigate biases in machine learning models
Bias auditor
A toolkit for auditing and mitigating bias in machine learning systems
Bias detector
A dataset and benchmarking framework to evaluate the performance of question answering models on detecting and mitigating social biases.
Fairness comparison tool
An online repository providing benchmarking tools and data for evaluating fairness-aware machine learning algorithms
Bias detection tool
This project investigates how bias can be introduced and spread in machine learning models during federated learning, and aims to detect and mitigate this issue.
ethicalml/xai1.1K
Bias analysis tool
An eXplainability toolbox for machine learning that enables data analysis and model evaluation to mitigate biases and improve performance
Security auditor
An automation tool that assesses the security of machine learning systems by bringing together various adversarial frameworks under one platform.
Bias detector
A tool for detecting bias in machine learning models and mitigating it using various techniques.
Bias datasets
Compiles bias evaluation datasets and provides access to original data sources for large language models
Code auditor
A tool to detect untested parts of source code by introducing small changes and testing the resulting behavior.
Bias evaluator
This project provides a data proxy to evaluate bias in facial recognition systems across demographic groups.
Privacy Auditor
An auditing tool to assess the privacy risks of machine learning models
Robustness tester
A toolbox for researching and evaluating robustness against attacks on machine learning models
Analysis toolkit
A toolbox to help understand neural networks' predictions by providing different analysis methods and a common interface.
