A.  Monreale, Naretto, F., and Rizzo, S., ?Agnostic Label-Only Membership Inference Attack?, in 17th International Conference on Network and System Security, 2023.

F.  Naretto, Monreale, A., and Giannotti, F., ?Evaluating the Privacy Exposure of Interpretable Global and Local Explainers?, in Submitted at Journal of Artificial Intelligence and Law, 2023.

F.  Naretto, Pellungrini, R., Fadda, D., and Rinzivillo, S., ?EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories?, in Discovery Science , 2023.

M.  Fontana, Naretto, F., Monreale, A., and Giannotti, F., ?Monitoring Fairness in HOLDA?, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.

F.  Bodria, Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., and Rinzivillo, S., ?Benchmarking and Survey of Explanation Methods for Black Box Models?, CoRR, vol. abs/2102.13076, 2021.

F.  Giannotti, Naretto, F., and Bodria, F., ?Explainable for Trustworthy AI?, in Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes, 2021.

M.  Fontana, Naretto, F., and Monreale, A., ?A new approach for cross-silo federated learning and its privacy risks?, in 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 2021.

G.  Mariani, Monreale, A., and Naretto, F., ?Privacy Risk Assessment of Individual Psychometric Profiles?, in Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 2021.

F.  Naretto, Pellungrini, R., Monreale, A., Nardini, F. Maria, and Musolesi, M., ?Predicting and Explaining Privacy Risk Exposure in Mobility Data?, in Discovery Science, Cham, 2020.

F.  Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., ?Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks?, in ECML PKDD 2020 Workshops, Cham, 2020.