Angelica Liguori

Orcid: 0000-0001-9402-7375

According to our database1, Angelica Liguori authored at least 14 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores.
Soc. Netw. Anal. Min., December, 2023

Modeling Events and Interactions through Temporal Processes - A Survey.
CoRR, 2023

Neuro-Symbolic techniques for Predictive Maintenance.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Siamese Network for Fake Item Detection.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Towards Self-Supervised Cross-Domain Fake News Detection.
Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023

Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities.
Proceedings of the Italia Intelligenza Artificiale, 2023

2022
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons.
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022

Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems.
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review.
Proceedings of the Digital Sovereignty in Cyber Security: New Challenges in Future Vision, 2022

2021
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Adversarial Regularized Reconstruction for Anomaly Detection and Generation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
Exploiting Temporal Convolution for Activity Prediction in Process Analytics.
Proceedings of the ECML PKDD 2020 Workshops, 2020

A Deep Learning Approach for Detecting Security Attacks on Blockchain.
Proceedings of the Fourth Italian Conference on Cyber Security, 2020

Deep Autoencoder Ensembles for Anomaly Detection on Blockchain.
Proceedings of the Foundations of Intelligent Systems - 25th International Symposium, 2020


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