Shahzad Ahmad

Adversarial Distance Metrics: A Threat to Fairness in Clustering-Based Decision Systems

An insider adversary manipulates the distance function to induce discriminatory clustering outcomes against demographic groups, exposing a gap in current fairness auditing practices and demonstrating the urgent need to expand the scope of the algorithmic audit to include distance-function verification.