Giuseppina Andresini
Cited by
Cited by
Autoencoder-based deep metric learning for network intrusion detection
G Andresini, A Appice, D Malerba
Information Sciences 569, 706-727, 2021
Multi-channel deep feature learning for intrusion detection
G Andresini, A Appice, N Di Mauro, C Loglisci, D Malerba
IEEE Access 8, 53346-53359, 2020
GAN augmentation to deal with imbalance in imaging-based intrusion detection
G Andresini, A Appice, L De Rose, D Malerba
Future Generation Computer Systems 123, 108-127, 2021
Nearest cluster-based intrusion detection through convolutional neural networks
G Andresini, A Appice, D Malerba
Knowledge-Based Systems 216, 106798, 2021
Insomnia: Towards concept-drift robustness in network intrusion detection
G Andresini, F Pendlebury, F Pierazzi, C Loglisci, A Appice, L Cavallaro
Proceedings of the 14th ACM workshop on artificial intelligence and security …, 2021
Exploiting the auto-encoder residual error for intrusion detection
G Andresini, A Appice, N Di Mauro, C Loglisci, D Malerba
2019 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW …, 2019
Clustering-aided multi-view classification: a case study on android malware detection
A Appice, G Andresini, D Malerba
Journal of intelligent information systems 55, 1-26, 2020
ROULETTE: A neural attention multi-output model for explainable network intrusion detection
G Andresini, A Appice, FP Caforio, D Malerba, G Vessio
Expert Systems with Applications 201, 117144, 2022
Improving cyber-threat detection by moving the boundary around the normal samples
G Andresini, A Appice, F Paolo Caforio, D Malerba
Machine Intelligence and Big Data Analytics for Cybersecurity Applications …, 2021
Dealing with class imbalance in android malware detection by cascading clustering and classification
G Andresini, A Appice, D Malerba
Complex Pattern Mining: New Challenges, Methods and Applications, 173-187, 2020
Leveraging grad-CAM to improve the accuracy of network intrusion detection systems
FP Caforio, G Andresini, G Vessio, A Appice, D Malerba
International Conference on Discovery Science, 385-400, 2021
Leveraging autoencoders in change vector analysis of optical satellite images
G Andresini, A Appice, D Iaia, D Malerba, N Taggio, A Aiello
Journal of Intelligent Information Systems, 1-20, 2022
EUPHORIA: A neural multi-view approach to combine content and behavioral features in review spam detection
G Andresini, A Iovine, R Gasbarro, M Lomolino, M de Gemmis, A Appice
Journal of Computational Mathematics and Data Science 3, 100036, 2022
A network intrusion detection system for concept drifting network traffic data
G Andresini, A Appice, C Loglisci, V Belvedere, D Redavid, D Malerba
Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021
Siamese networks with transfer learning for change detection in sentinel-2 images
G Andresini, A Appice, D Dell’Olio, D Malerba
International Conference of the Italian Association for Artificial …, 2021
Xai to explore robustness of features in adversarial training for cybersecurity
M AL-Essa, G Andresini, A Appice, D Malerba
International Symposium on Methodologies for Intelligent Systems, 117-126, 2022
SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning
G Andresini, A Appice, D Ienco, D Malerba
Expert Systems with Applications 214, 119123, 2023
An XAI-based adversarial training approach for cyber-threat detection
ALE Malik, G Andresini, A Appice, D Malerba
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …, 2022
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings …
M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galárraga, J Oramas, ...
Springer Nature, 2022
Analyzing microblogging posts for tracking collective emotional trajectories
C Loglisci, G Andresini, A Impedovo, D Malerba
AI* IA 2018–Advances in Artificial Intelligence: XVIIth International …, 2018
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