ANDRESINI, GIUSEPPINA
ANDRESINI, GIUSEPPINA
DIPARTIMENTO DI INFORMATICA
A Network Intrusion Detection System for Concept Drifting Network Traffic Data
2021-01-01 Andresini, Giuseppina; Appice, Annalisa; Loglisci, Corrado; Belvedere, Vincenzo; Redavid, Domenico; Malerba, Donato
A two-step network intrusion detection system for multi-class classification
2021-01-01 Andresini, G.; Appice, A.; Malerba, D.
An XAI-based adversarial training approach for cyber-threat detection
2022-01-01 Al-Essa, M.; Andresini, G.; Appice, A.; Malerba, D.
Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories
2018-01-01 Loglisci, Corrado; Andresini, Giuseppina; Impedovo, Angelo; Malerba, Donato
Autoencoder-based deep metric learning for network intrusion detection
2021-01-01 Andresini, G.; Appice, A.; Malerba, D.
CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector
2023-01-01 Andresini, Giuseppina; Appice, Annalisa; Ardimento, Pasquale; Antonio Brunetta, Andrea; Doronzo, ANTONIO GIUSEPPE; Ieva, Giuseppe; Luce, Francesco; Malerba, Donato; Pasquadibisceglie, Vincenzo
Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection
2020-01-01 Appice, A.; Andresini, G.; Malerba, D.
Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification
2020-01-01 Andresini, G.; Appice, A.; Malerba, D.
EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection
2022-01-01 Andresini, Giuseppina; Iovine, Andrea; Gasbarro, Roberto; Lomolino, Marco; de GEMMIS, Marco; Appice, Annalisa
Exploiting the Auto-Encoder Residual Error for Intrusion Detection
2019-01-01 Andresini, Giuseppina; Appice, Annalisa; Di Mauro, Nicola; Loglisci, Corrado; Malerba, Donato
GAN augmentation to deal with imbalance in imaging-based intrusion detection
2021-01-01 Andresini, G.; Appice, A.; De Rose, L.; Malerba, D.
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection
2023-01-01 Andresini, G.; Appice, A.; Gasbarro, R.; Malerba, D.
Improving Cyber-Threat Detection by Moving the Boundary Around the Normal Samples
2021-01-01 Andresini, G.; Appice, A.; Caforio, F. P.; Malerba, D.
INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection
2021-01-01 Andresini, G.; Pendlebury, F.; Pierazzi, F.; Loglisci, C.; Appice, A.; Cavallaro, L.
Leveraging autoencoders in change vector analysis of optical satellite images
2021-01-01 Andresini, G.; Appice, A.; Iaia, D.; Malerba, D.; Taggio, N.; Aiello, A.
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems
2021-01-01 Paolo Caforio, Francesco; Andresini, Giuseppina; Vessio, Gennaro; Appice, Annalisa; Malerba, Donato
Multi-Channel Deep Feature Learning for Intrusion Detection
2020-01-01 Andresini, G.; Appice, A.; Di Mauro, N.; Loglisci, C.; Malerba, D.
Nearest cluster-based intrusion detection through convolutional neural networks
2021-01-01 Andresini, G.; Appice, A.; Malerba, D.
PANACEA: a neural model ensemble for cyber-threat detection
2024-01-01 AL-Essa, M.; Andresini, G.; Appice, A.; Malerba, D.
ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection
2022-01-01 Andresini, Giuseppina; Appice, Annalisa; Caforio, Francesco Paolo; Malerba, Donato; Vessio, Gennaro
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Network Intrusion Detection System for Concept Drifting Network Traffic Data | 1-gen-2021 | Andresini, Giuseppina; Appice, Annalisa; Loglisci, Corrado; Belvedere, Vincenzo; Redavid, Domenico; Malerba, Donato | |
| A two-step network intrusion detection system for multi-class classification | 1-gen-2021 | Andresini, G.; Appice, A.; Malerba, D. | |
| An XAI-based adversarial training approach for cyber-threat detection | 1-gen-2022 | Al-Essa, M.; Andresini, G.; Appice, A.; Malerba, D. | |
| Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories | 1-gen-2018 | Loglisci, Corrado; Andresini, Giuseppina; Impedovo, Angelo; Malerba, Donato | |
| Autoencoder-based deep metric learning for network intrusion detection | 1-gen-2021 | Andresini, G.; Appice, A.; Malerba, D. | |
| CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector | 1-gen-2023 | Andresini, Giuseppina; Appice, Annalisa; Ardimento, Pasquale; Antonio Brunetta, Andrea; Doronzo, ANTONIO GIUSEPPE; Ieva, Giuseppe; Luce, Francesco; Malerba, Donato; Pasquadibisceglie, Vincenzo | |
| Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection | 1-gen-2020 | Appice, A.; Andresini, G.; Malerba, D. | |
| Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification | 1-gen-2020 | Andresini, G.; Appice, A.; Malerba, D. | |
| EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection | 1-gen-2022 | Andresini, Giuseppina; Iovine, Andrea; Gasbarro, Roberto; Lomolino, Marco; de GEMMIS, Marco; Appice, Annalisa | |
| Exploiting the Auto-Encoder Residual Error for Intrusion Detection | 1-gen-2019 | Andresini, Giuseppina; Appice, Annalisa; Di Mauro, Nicola; Loglisci, Corrado; Malerba, Donato | |
| GAN augmentation to deal with imbalance in imaging-based intrusion detection | 1-gen-2021 | Andresini, G.; Appice, A.; De Rose, L.; Malerba, D. | |
| GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection | 1-gen-2023 | Andresini, G.; Appice, A.; Gasbarro, R.; Malerba, D. | |
| Improving Cyber-Threat Detection by Moving the Boundary Around the Normal Samples | 1-gen-2021 | Andresini, G.; Appice, A.; Caforio, F. P.; Malerba, D. | |
| INSOMNIA: Towards Concept-Drift Robustness in Network Intrusion Detection | 1-gen-2021 | Andresini, G.; Pendlebury, F.; Pierazzi, F.; Loglisci, C.; Appice, A.; Cavallaro, L. | |
| Leveraging autoencoders in change vector analysis of optical satellite images | 1-gen-2021 | Andresini, G.; Appice, A.; Iaia, D.; Malerba, D.; Taggio, N.; Aiello, A. | |
| Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems | 1-gen-2021 | Paolo Caforio, Francesco; Andresini, Giuseppina; Vessio, Gennaro; Appice, Annalisa; Malerba, Donato | |
| Multi-Channel Deep Feature Learning for Intrusion Detection | 1-gen-2020 | Andresini, G.; Appice, A.; Di Mauro, N.; Loglisci, C.; Malerba, D. | |
| Nearest cluster-based intrusion detection through convolutional neural networks | 1-gen-2021 | Andresini, G.; Appice, A.; Malerba, D. | |
| PANACEA: a neural model ensemble for cyber-threat detection | 1-gen-2024 | AL-Essa, M.; Andresini, G.; Appice, A.; Malerba, D. | |
| ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection | 1-gen-2022 | Andresini, Giuseppina; Appice, Annalisa; Caforio, Francesco Paolo; Malerba, Donato; Vessio, Gennaro |