Adversarial Robustness of Variational Autoencoders across Intersectional Subgroups. read more of Subgroup-Robustness

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study. read more of FairAugment

Counterfactual explanations for tabular data. read more of TabCF

Multi-attribute, Multi-objective, Multi-definition aware fair classifiers. read more of mmm-fair

An investigation into the fairness and bias implications of multimodal fusion techniques in AI-driven recruitment systems using the FairCVdb dataset, examining how different fusion strategies influence bias and impact fairness in hiring decisions. read more of Exploring Bias and Fusion in Multimodal AI Recruitment with FairCVdb

Computing multiattribute homophily. read more of Multisoc

Python package for network inference. read more of NetIn

Belief-Desire-Intention intelligent software agents, Virtual Reality, and Natural Language all together in VEsNA! read more of VEsNA

This repository is the official implementation of On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications, where algorithms like D-RISE and D-MFPP specifically designed for Object Detection models can be... read more of On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications

Understanding Face Attribute Classifiers through Summary Model Explanations. read more of FaceX