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2020 – today
- 2024
[j3]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio
, Angelica Liguori, Marco Zuppelli:
Learning autoencoder ensembles for detecting malware hidden communications in IoT ecosystems. J. Intell. Inf. Syst. 62(4): 925-949 (2024)- [j2]Angelica Liguori, Ettore Ritacco, Francesco Sergio Pisani, Giuseppe Manco:
Robust anomaly detection via adversarial counterfactual generation. Knowl. Inf. Syst. 66(12): 7437-7468 (2024) - [c16]Marco Zuppelli, Massimo Guarascio, Luca Caviglione, Angelica Liguori:
No Country for Leaking Containers: Detecting Exfiltration of Secrets Through AI and Syscalls. ARES 2024: 78:1-78:8 - [c15]Angelica Liguori, Marco Zuppelli, Daniela Gallo, Massimo Guarascio, Luca Caviglione:
Erasing the Shadow: Sanitization of Images with Malicious Payloads Using Deep Autoencoders. ISMIS 2024: 115-125 - [c14]Angelica Liguori, Ettore Ritacco, Giuseppe Benvenuto, Salvatore Iiritano, Giuseppe Manco, Massimiliano Ruffolo:
Siamese Networks for Unsupervised Failure Detection in Smart Industry. ISMIS 2024: 191-200 - [c13]Luca Caviglione, Carmela Comito, Erica Coppolillo, Daniela Gallo, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Minici, Simone Mungari, Francesco Sergio Pisani, Ettore Ritacco, Antonino Rullo, Paolo Zicari, Marco Zuppelli:
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity. Ital-IA 2024: 170-175 - [i2]Daniela Gallo, Angelica Liguori, Ettore Ritacco, Luca Caviglione, Fabrizio Durante, Giuseppe Manco:
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation. CoRR abs/2410.05819 (2024) - 2023
- [j1]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Marco Zuppelli:
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores. Soc. Netw. Anal. Min. 13(1): 114 (2023) - [c12]Angelica Liguori, Simone Mungari, Marco Zuppelli, Carmela Comito, Enrico Cambiaso, Matteo Repetto, Massimo Guarascio, Luca Caviglione, Giuseppe Manco:
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities. Ital-IA 2023: 397-402 - [c11]Carmela Comito, Francesco Sergio Pisani, Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Giuseppe Manco:
Towards Self-Supervised Cross-Domain Fake News Detection. ITASEC 2023 - [c10]Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco:
Siamese Network for Fake Item Detection. SEBD 2023: 430-438 - [c9]Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano:
Neuro-Symbolic techniques for Predictive Maintenance. SEBD 2023: 459-468 - [i1]Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama:
Modeling Events and Interactions through Temporal Processes - A Survey. CoRR abs/2303.06067 (2023) - 2022
- [c8]Erica Coppolillo, Angelica Liguori, Massimo Guarascio, Francesco Sergio Pisani, Giuseppe Manco:
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review. CyberSec4Europe 2022: 65-79 - [c7]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Marco Zuppelli:
Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems. ISMIS 2022: 209-218 - [c6]Nunziato Cassavia, Luca Caviglione, Massimo Guarascio, Angelica Liguori, Giuseppe Surace, Marco Zuppelli:
Federated Learning for the Efficient Detection of Steganographic Threats Hidden in Image Icons. PerSOM 2022: 83-95 - 2021
- [c5]Angelica Liguori, Giuseppe Manco, Francesco Sergio Pisani, Ettore Ritacco:
Adversarial Regularized Reconstruction for Anomaly Detection and Generation. ICDM 2021: 1204-1209 - [c4]Angelica Liguori, Giuseppe Manco, Ettore Ritacco, Massimilano Ruffolo, Salvatore Iiritano:
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper). SEBD 2021: 474-481 - 2020
- [c3]Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain. ISMIS 2020: 448-456 - [c2]Francesco Scicchitano, Angelica Liguori, Massimo Guarascio, Ettore Ritacco, Giuseppe Manco:
A Deep Learning Approach for Detecting Security Attacks on Blockchain. ITASEC 2020: 212-222 - [c1]Francesco Folino, Massimo Guarascio, Angelica Liguori, Giuseppe Manco, Luigi Pontieri, Ettore Ritacco:
Exploiting Temporal Convolution for Activity Prediction in Process Analytics. PKDD/ECML Workshops 2020: 263-275
Coauthor Index
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