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Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
Md Fahim Sikder, Daniel de Leng, Fredrik Heintz
This work presents Fair4Free, a novel generative model to generate synthetic fair data using data-free distillation in the latent space. Fair4Free can work on the situation when th…
FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng +1
We present FairX, an open-source Python-based benchmarking tool designed for the comprehensive analysis of models under the umbrella of fairness, utility, and eXplainability (XAI).…
Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
Md Fahim Sikder, Resmi Ramachandranpillai, Daniel de Leng +1
Data Fairness is a crucial topic due to the recent wide usage of AI powered applications. Most of the real-world data is filled with human or machine biases and when those data are…