Flatness Defect Detection and Classification in Hot Rolled Steel Strips Using Convolutional Neural Networks. - Marco Vannocci; Antonio Ritacco; Angelo Castellano; Filippo Galli; Marco Vannucci; Vincenzo Iannino; Valentina Colla (IWANN (2), 2019)

Forecasting Operation Metrics for Virtualized Network Functions. - Tommaso Cucinotta; Giacomo Lanciano; Antonio Ritacco; Fabio Brau; Filippo Galli; Vincenzo Iannino; Marco Vannucci; Antonino Artale; João Barata; Enrica Sposato (CCGRID, 2021)

Predictive auto-scaling with OpenStack Monasca. - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (UCC, 2021)

Archival bundle of the data used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021). - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2021)

Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021). - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2021)

Archival bundle of the code used for "Predictive Auto-scaling with OpenStack Monasca" (UCC 2021). - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2021)

Optimum VM Placement for NFV Infrastructures. - Tommaso Cucinotta; Luigi Pannocchi; Filippo Galli; Silvia Fichera; Sourav Lahiri; Antonino Artale (IC2E, 2022)

Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control". - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2022)

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control". - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2022)

Archival bundle of the data used for "Extending OpenStack Monasca for Predictive Elasticity Control". - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2022)

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control". - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2022)

Group Privacy for Personalized Federated Learning. - Filippo Galli; Sayan Biswas; Kangsoo Jung; Tommaso Cucinotta; Catuscia Palamidessi (ICISSP, 2023)

Archival bundle of the code used for "Extending OpenStack Monasca for Predictive Elasticity Control". - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Zenodo, 2023)

Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond. - Filippo Galli; Kangsoo Jung; Sayan Biswas; Catuscia Palamidessi; Tommaso Cucinotta (SN Comput. Sci., 2023)

Online Sensitivity Optimization in Differentially Private Learning. - Filippo Galli; Catuscia Palamidessi; Tommaso Cucinotta (AAAI, 2024)

SEUPD@CLEF: Team IRIS on Temporal Evolution of Query Expansion and Rank Fusion Techniques Applied to Cross-Encoder Re-Rankers. - Filippo Galli; Manuel Rigobello; Michela Schibuola; Riccardo Zuech; Nicola Ferro 001 (CLEF (Working Notes), 2024)

Extending OpenStack Monasca for Predictive Elasticity Control. - Giacomo Lanciano; Filippo Galli; Tommaso Cucinotta; Davide Bacciu; Andrea Passarella (Big Data Min. Anal., 2024)

Noisy Neighbors: Efficient membership inference attacks against LLMs. - Filippo Galli; Luca Melis; Tommaso Cucinotta (CoRR, 2024)