Golnoosh Farnadi

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

2023 · arXiv (Cornell University)

As responsible AI gains importance in machine learning algorithms, properties such as fairness, adversarial robustness, and causality have received considerable attention in recent years. However, despite their individual significance, there remains a critical gap in …

Fairness in Federated Learning: Fairness for Whom?

2025 · arXiv (Cornell University)

Fairness in federated learning has emerged as a rapidly growing area of research, with numerous works proposing formal definitions and algorithmic interventions. Yet, despite this technical progress, fairness in FL is often defined and evaluated …