2024
. Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection. In Proceedings of the 21st International Conference on Security and Cryptography - SECRYPT. INSTICC; 2024.
2023
. Evaluating the Privacy Exposure of Interpretable Global and Local Explainers. In Submitted at Journal of Artificial Intelligence and Law. 2023.
. AUC-based Selective Classification. In International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain [Internet]. PMLR; 2023. https://proceedings.mlr.press/v206/pugnana23a.html
. A Model-Agnostic Heuristics for Selective Classification. In Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023 [Internet]. AAAI Press; 2023. https://doi.org/10.1609/aaai.v37i8.26133
. Topics in Selective Classification. In Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023 [Internet]. AAAI Press; 2023. https://doi.org/10.1609/aaai.v37i13.26925
. EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories. In Discovery Science . 2023.
. Agnostic Label-Only Membership Inference Attack. In 17th International Conference on Network and System Security. Springer; 2023.
. Explaining Black-Boxes in Federated Learning. In Explainable Artificial Intelligence. Cham: Springer Nature Switzerland; 2023.
. Explain and Interpret Few-Shot Learning. In Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023 [Internet]. CEUR-WS.org; 2023. https://ceur-ws.org/Vol-3554/paper38.pdf