Learn and Visually Explain Deep Fair Models: an Application to Face Recognition. - Danilo Franco; Luca Oneto; Nicolò Navarin; Davide Anguita (IJCNN, 2021)

Toward Learning Trustworthily from Data Combining Privacy, Fairness, and Explainability: An Application to Face Recognition. - Danilo Franco; Luca Oneto; Nicolò Navarin; Davide Anguita (Entropy, 2021)

Deep fair models for complex data: Graphs labeling and explainable face recognition. - Danilo Franco; Nicolò Navarin; Michele Donini; Davide Anguita; Luca Oneto (Neurocomputing, 2022)

Mitigating Robustness Bias: Theoretical Results and Empirical Evidences. - Danilo Franco; Luca Oneto; Davide Anguita (ESANN, 2023)

Fair Empirical Risk Minimization Revised. - Danilo Franco; Luca Oneto; Davide Anguita (IWANN (1), 2023)

Towards Trustworthiness in Artificial Intelligence: Pushing for Explainable, Fair, Robust, and Private Supervised Machine Learning. - Danilo Franco (2024)

Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing. - Danilo Franco; Vincenzo Stefano D'Amato; Luca Pasa; Nicolò Navarin; Luca Oneto (Neurocomputing, 2024)