Giuseppina Andresini

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Intrusion Detection

Transfer Learning

Network Traffic

Concept Drifting

Top Venues

J. Intell. Inf. Syst.

Expert Syst. Appl.

Publications

Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
PANACEA: a neural model ensemble for cyber-threat detection. Mach. Learn. 113 (8) (2024)
Luca De Rose, Giuseppina Andresini, Annalisa Appice, Donato Malerba
VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. Comput. Secur. 144 (2024)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. SAC (2024)
Giuseppina Andresini, Annalisa Appice, Dino Ienco, Donato Malerba
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. Expert Syst. Appl. 214 (2023)
Giuseppina Andresini, Annalisa Appice, Pasquale Ardimento, Andrea Antonio Brunetta, Antonio Giuseppe Doronzo, Giuseppe Ieva, Francesco Luce, Donato Malerba, Vincenzo Pasquadibisceglie
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. AI*IA (2023)
Giuseppina Andresini, Annalisa Appice
Editorial: AI meets cybersecurity. J. Intell. Inf. Syst. 60 (2) (2023)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. DSAA (2023)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
$\mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS (2023)
Giuseppina Andresini, Annalisa Appice, Francesco Paolo Caforio, Donato Malerba, Gennaro Vessio
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. Expert Syst. Appl. 201 (2022)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. ISMIS (2022)
Malik Al-Essa, Giuseppina Andresini, Annalisa Appice, Donato Malerba
An XAI-based adversarial training approach for cyber-threat detection. DASC/PiCom/CBDCom/CyberSciTech (2022)
Giuseppina Andresini, Annalisa Appice, Daniele Iaia, Donato Malerba, Nicolò Taggio, Antonello Aiello
Leveraging autoencoders in change vector analysis of optical satellite images. J. Intell. Inf. Syst. 58 (3) (2022)
Giuseppina Andresini, Andrea Iovine, Roberto Gasbarro, Marco Lomolino, Marco de Gemmis, Annalisa Appice
Review Spam Detection using Multi-View Deep Learning Combining Content and Behavioral Features. itaDATA (2022)
Giuseppina Andresini, Annalisa Appice, Luca De Rose, Donato Malerba
GAN augmentation to deal with imbalance in imaging-based intrusion detection. Future Gener. Comput. Syst. 123 (2021)
Giuseppina Andresini, Feargus Pendlebury, Fabio Pierazzi, Corrado Loglisci, Annalisa Appice, Lorenzo Cavallaro
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection. AISec@CCS (2021)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Nearest cluster-based intrusion detection through convolutional neural networks. Knowl. Based Syst. 216 (2021)
Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS (2021)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). SEBD (2021)
Giuseppina Andresini, Annalisa Appice, Donato Malerba
Autoencoder-based deep metric learning for network intrusion detection. Inf. Sci. 569 (2021)
Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS (2021)
Giuseppina Andresini, Annalisa Appice, Domenico Dell'Olio, Donato Malerba
Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images. AI*IA (2021)
Annalisa Appice, Giuseppina Andresini, Donato Malerba
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection. J. Intell. Inf. Syst. 55 (1) (2020)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8 (2020)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops (2019)
Corrado Loglisci, Giuseppina Andresini, Angelo Impedovo, Donato Malerba
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. AI*IA (2018)