Sfoglia per Relatore
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Adversarial attacks against federated learning systems : a review
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Adversarial malware detection: an out of distribution detection approach
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Amatriciana: A Temporal Graph Neural Networks based Framework for Money Laundering Detection
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Analysis and benchmarking of active attacks against federated learning on ischemic stroke tabular data
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An analysis of defence mechanisms against evasion attacks in the fraud detection domain
2020/2021 Benati, Filippo Maria
ANNtivirus : dissecting antivirus programs through neural network explainability
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Assessing and improving the vulnerability management process in a major italian bank
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Automating cyber threat analysis with LLMs: a methodology for building and serving knowledge graphs
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Bridging the gap: how LLMs can improve cyber incident response
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Connecting the dots: a temporal analysis on the Cyber Threat Intelligence potential of social media discussions
2023/2024 Pellegrino, Davide Edoardo
Cost-aware adversarial attacks and defences for tabular data
2022/2023 Cermaria, Francesco
Enhancing cybersecurity through vulnerability assessment and penetration testing : a case study analysis on an italian automotive distribution company
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Evasion attacks against Intrusion Detection Systems on Communication Area Network
2020/2021 Noseda, Francesco
Exploring feature space and evaluating detection strategies for C/C++ vulnerabilities with lightweight LLMs
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FedArmor: ensembling defense methods to detect and mitigate malicious clients in Federated Learning for Healthcare
2023/2024 Zagami, Angelo
Federated learning for fraud detection: an evaluation of its practicality and security implications
2023/2024 VILLA, ROBERTO
FIRM-ID: documentation based firmware microcontroller identification
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FraudBench: A Benchmarking Software for Fraud Detection Systems
2022/2023 Maniscalchi, Luca
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