Giuseppe Manco
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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
Modeling events and interactions through temporal processes: A survey
On the Feasibility of Android Stegomalware: A Detection Study
Beyond the Horizon: Using Mixture of Experts for Domain Agnostic Fake News Detection
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation
Dawn of LLM4Cyber: Current Solutions, Challenges, and New Perspectives in Harnessing LLMs for Cybersecurity
Robust anomaly detection via adversarial counterfactual generation
Siamese Networks for Unsupervised Failure Detection in Smart Industry
A federated approach for detecting data hidden in icons of mobile applications delivered via web and multiple stores
Modeling Events and Interactions through Temporal Processes - A Survey
Neuro-Symbolic techniques for Predictive Maintenance
Siamese Network for Fake Item Detection
Towards Self-Supervised Cross-Domain Fake News Detection
Using AI to face covert attacks in IoT and softwarized scenarios: challenges and opportunities
Generative Methods for Out-of-distribution Prediction and Applications for Threat Detection and Analysis: A Short Review
A Deep Learning Approach for Unsupervised Failure Detection in Smart Industry (Discussion Paper)
Adversarial Regularized Reconstruction for Anomaly Detection and Generation
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
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