Strengthening Sequential Side-Channel Attacks Through Change Detection. - Luca Frittoli; Matteo Bocchi; Silvia Mella; Diego Carrera; Beatrice Rossi; Pasqualina Fragneto; Ruggero Susella; Giacomo Boracchi (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020)

Change Detection in Multivariate Datastreams Controlling False Alarms. - Luca Frittoli; Diego Carrera; Giacomo Boracchi (ECML/PKDD (1), 2021)

Deep Autoencoders for Anomaly Detection in Textured Images Using CW-SSIM. - Andrea Bionda; Luca Frittoli; Giacomo Boracchi (ICIAP (2), 2022)

Class Distribution Monitoring for Concept Drift Detection. - Diego Stucchi; Luca Frittoli; Giacomo Boracchi (IJCNN, 2022)

Composite Layers for Deep Anomaly Detection on 3D Point Clouds. - Alberto Floris; Luca Frittoli; Diego Carrera; Giacomo Boracchi (CoRR, 2022)

Deep open-set recognition for silicon wafer production monitoring. - Luca Frittoli; Diego Carrera; Beatrice Rossi; Pasqualina Fragneto; Giacomo Boracchi (Pattern Recognit., 2022)

Advanced learning methods for anomaly detection in multivariate datastreams and point clouds - Luca Frittoli (2022)

Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree. - Luca Frittoli; Diego Carrera; Giacomo Boracchi (IEEE Trans. Knowl. Data Eng., 2023)

Change Detection in Multivariate Data Streams: Online Analysis with Kernel-QuantTree. - Michelangelo Olmo Nogara Notarianni; Filippo Leveni; Diego Stucchi; Luca Frittoli; Giacomo Boracchi (AALTD@ECML/PKDD, 2024)

AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection. - Yunkang Cao; Jiangning Zhang; Luca Frittoli; Yuqi Cheng; Weiming Shen 001; Giacomo Boracchi (ECCV (35), 2024)

Composite convolution: A flexible operator for deep learning on 3D point clouds. - Alberto Floris; Luca Frittoli; Diego Carrera; Giacomo Boracchi (Pattern Recognit., 2024)