2023
. 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.
. 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
. 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
. Generative AI models should include detection mechanisms as a condition for public releaseAbstract. Ethics and Information Technology [Internet]. 2023;25. https://link.springer.com/article/10.1007/s10676-023-09728-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20231028&utm_content=10.1007/s10676-023-09728-4
. Fair Federated Learning methodology based on Multi-Objective Optimization. Submitted at JAIR. 2023;.
. Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions. Applied Network Science. 2023;8:1–19.