Kaushik Roy

Profiteer: A Proxy-Mediated Fairness Attack in Federated Learning for Tabular Data

Federated learning (FL) enables collaborative model training across decentralized data sources while preserving privacy, yet its vulnerability to data-level fairness attacks remains underexplored. Prior attacks typically manipulate model updates, labels, or sensitive attributes, leaving unexplored a subtler vulnerabili...