Giuseppe Manco
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Massimo Guarascio
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Breaking domain barriers: mixture of experts for cross-domain fake news detection
Days of Future Past: Towards Robust Detection of Malware Variants via LLM-Based Embedding Generation
Discovering Domain-Agnostic Fake News Detectors Through Deep Self-Supervised Learning
Large language models in the software supply chain: challenges and opportunities
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores
Fighting Misinformation, Radicalization and Bias in Social Media
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels
Neuro-Symbolic AI for Compliance Checking of Electrical Control Panels
ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper)
Towards Self-Supervised Cross-Domain Fake News Detection
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities
A Loosely-coupled Neural-symbolic approach to Compliance of Electric Panels
Boosting Cyber-Threat Intelligence via Collaborative Intrusion Detection
Detection of Network Covert Channels in IoT Ecosystems Using Machine Learning
Detection of Steganographic Threats Targeting Digital Images in Heterogeneous Ecosystems Through Machine Learning
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review
Revealing MageCart-like Threats in Favicons via Artificial Intelligence
Towards Extreme Multi-Label Classification of Multimedia Content
Sanitization of Images Containing Stegomalware via Machine Learning Approaches
A Deep Learning Approach for Detecting Security Attacks on Blockchain
Deep Autoencoder Ensembles for Anomaly Detection on Blockchain
Exploiting Temporal Convolution for Activity Prediction in Process Analytics
Deep Learning
Deep Sequential Modeling for Recommendation
Knowledge Discovery in Databases
Network Models
Network Topology
A Block Mixture Model for Pattern Discovery in Preference Data
Mining models of exceptional objects through rule learning
A Hierarchical Rule-based Framework for Accurate Classification in Imprecise Domains
High Quality True-Positive Prediction for Fiscal Fraud Detection
Rule Learning with Probabilistic Smoothing
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