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Angelica Liguori
Angelica Liguori
Department of Computer Engineering, Modeling, Electronics and, Systems, University of Calabria
Verified email at icar.cnr.it - Homepage
Title
Cited by
Cited by
Year
A deep learning approach for detecting security attacks on blockchain
F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco
CEUR Workshop Proceedings 2597, 212-222, 2020
442020
Blockchain attack discovery via anomaly detection
F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco
Consiglio Nazionale delle Ricerche, Istituto di Calcolo e Reti ad Alte …, 2019
82019
Deep autoencoder ensembles for anomaly detection on blockchain
F Scicchitano, A Liguori, M Guarascio, E Ritacco, G Manco
Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020 …, 2020
72020
Adversarial regularized reconstruction for anomaly detection and generation
A Liguori, G Manco, FS Pisani, E Ritacco
2021 IEEE International Conference on Data Mining (ICDM), 1204-1209, 2021
42021
Federated learning for the efficient detection of steganographic threats hidden in image icons
N Cassavia, L Caviglione, M Guarascio, A Liguori, G Surace, M Zuppelli
International Conference on Pervasive Knowledge and Collective Intelligence …, 2022
32022
Ensembling sparse autoencoders for network covert channel detection in IoT ecosystems
N Cassavia, L Caviglione, M Guarascio, A Liguori, M Zuppelli
International Symposium on Methodologies for Intelligent Systems, 209-218, 2022
32022
Modeling Events and Interactions through Temporal Processes--A Survey
A Liguori, L Caroprese, M Minici, B Veloso, F Spinnato, M Nanni, ...
arXiv preprint arXiv:2303.06067, 2023
22023
Exploiting Temporal Convolution for Activity Prediction in Process Analytics
F Folino, M Guarascio, A Liguori, G Manco, L Pontieri, E Ritacco
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020
22020
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems
N Cassavia, L Caviglione, M Guarascio, A Liguori, M Zuppelli
Journal of Intelligent Information Systems, 1-25, 2023
12023
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores
N Cassavia, L Caviglione, M Guarascio, A Liguori, G Manco, M Zuppelli
Social Network Analysis and Mining 13 (1), 114, 2023
2023
Check for Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons
N Cassavia¹, L Caviglione, M Guarascio¹, A Liguori, G Surace
Pervasive Knowledge and Collective Intelligence on Web and Social Media …, 2023
2023
Towards Self-Supervised Cross-Domain Fake News Detection
C Comito, FS Pisani, E Coppolillo, A Liguori, M Guarascio, G Manco
2023
Neuro-Symbolic techniques for Predictive Maintenance
A Liguori, S Mungari, E Ritacco, F Ricca, G Manco, S Iiritano
CEUR WORKSHOP PROCEEDINGS 3478, 459-468, 2023
2023
Siamese Network for Fake Item Detection
E Coppolillo, D Gallo, A Liguori, S Mungari, E Ritacco, G Manco
CEUR WORKSHOP PROCEEDINGS 3478, 430-438, 2023
2023
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review
E Coppolillo, A Liguori, M Guarascio, FS Pisani, G Manco
International Workshop on Digital Sovereignty in Cyber Security: New …, 2022
2022
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities
A Liguori, S Mungari, M Zuppelli, C Comito, E Cambiaso, M Repetto, ...
2022
Exploiting Temporal Convolution for Activity Prediction in Process Analytics
L Pontieri, E Ritacco
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2021
2021
A deep learning approach for unsupervised failure detection in smart industry
A Liguori, G Manco, E Ritacco, M Ruffolo, S Iiritano
CEUR WORKSHOP PROCEEDINGS 2994, 2021
2021
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper).
A Liguori, G Manco, E Ritacco, M Ruffolo, S Iiritano
SEBD, 474-481, 2021
2021
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Articles 1–19