Safety vulnerability ID: 45270
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Responsibly 0.0.3 pins its dependency 'requests' to versions >=2.20.0 to include security fixes.
Latest version: 0.1.3
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
------------------
- Fairness in Classification
- Three demographic fairness criteria
- Independence
- Separation
- Sufficiency
- Equalized odds post-processing algorithmic interventions
- Complete two notebook demos (FICO and COMPAS)
- Word embedding bias
- Measuring bias with WEAT method
- Documentation improvements
- Fixing security issues with dependencies
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application