Michele Carminati
Orcid: 0000-0001-8284-6074
According to our database1,
Michele Carminati authored at least 66 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Evaluating Threats and Proposing Evidence-Based Recommendations for Mobile Digital Therapeutics Applications.
IEEE Access, 2026
Enhancing CTI Awareness of Small and Medium Enterprises with LLMs and Knowledge Graphs.
Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2026), 2026
Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026
2025
Swarm: A Distributed Ledger-based Framework to Enhance Air Traffic Control Security Using ADS-B Protocol.
ACM Trans. Priv. Secur., November, 2025
Highliner: Enhancing Binary Analysis through NLP-Based Instruction-Level Detection of C++ Inline Functions.
ACM Trans. Priv. Secur., November, 2025
CoRR, September, 2025
LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks.
CoRR, August, 2025
Assessing the Resilience of Automotive Intrusion Detection Systems to Adversarial Manipulation.
ACM Trans. Cyber Phys. Syst., July, 2025
Janus: A Trusted Execution Environment Approach for Attack Detection in Industrial Robot Controllers.
IEEE Trans. Emerg. Top. Comput., 2025
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems.
Proc. Priv. Enhancing Technol., 2025
Evaluating the potential of quantum machine learning in cybersecurity: A case-study on PCA-based intrusion detection systems.
Comput. Secur., 2025
A Secure and Trustworthy Federated Learning Platform as a Service Model for Stroke Management in European Clinical Centers.
IEEE Access, 2025
Proceedings of the 34th USENIX Security Symposium, 2025
How Stealthy is Stealthy? Studying the Efficacy of Black-Box Adversarial Attacks in the Real World.
Proceedings of the ICT Systems Security and Privacy Protection, 2025
Guessing As A Service: Large Language Models Are Not Yet Ready For Vulnerability Detection.
Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025
A Deep Learning Approach for False Data Injection Attacks Detection in Smart Water Infrastructure.
Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025
Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025
AutoCVSS: Assessing the Performance of LLMs for Automated Software Vulnerability Scoring.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2025
Poster: FedBlockParadox - A Framework for Simulating and Securing Decentralized Federated Learning.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2025
Linux Hurt Itself in Its Confusion! Exploiting Out-of-Memory Killer for Confusion Attacks via Heuristic Manipulation.
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2025
2024
IEEE Trans. Emerg. Top. Comput., 2024
An Anomaly Detection System Based on Generative Classifiers for Controller Area Network.
CoRR, 2024
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications.
CoRR, 2024
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications.
Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024
Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
Proceedings of the 21st International Conference on Security and Cryptography, 2024
You Might Have Known It Earlier: Analyzing the Role of Underground Forums in Threat Intelligence.
Proceedings of the 27th International Symposium on Research in Attacks, 2024
Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection.
Proceedings of the IEEE International Conference on Data Mining, 2024
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers.
Proceedings of the IEEE International Conference on E-health Networking, 2024
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2024
The Illusion of Randomness: An Empirical Analysis of Address Space Layout Randomization Implementations.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
2023
ACM Trans. Priv. Secur., November, 2023
Comput. Secur., September, 2023
CANova: A hybrid intrusion detection framework based on automatic signal classification for CAN.
Comput. Secur., May, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
The Good, the Bad, and the Binary: An LSTM-Based Method for Section Boundary Detection in Firmware Analysis.
Proceedings of the Advances in Information and Computer Security, 2023
Proceedings of the Italian Conference on Cyber Security (ITASEC 2023), 2023
Rainfuzz: Reinforcement-Learning Driven Heat-Maps for Boosting Coverage-Guided Fuzzing.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2023
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023
Evaluating the Robustness of Automotive Intrusion Detection Systems Against Evasion Attacks.
Proceedings of the Cyber Security, Cryptology, and Machine Learning, 2023
Lookin' Out My Backdoor! Investigating Backdooring Attacks Against DL-driven Malware Detectors.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023
2022
GOLIATH: A Decentralized Framework for Data Collection in Intelligent Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2022
Comput. Secur., 2022
Comput. Secur., 2022
IEEE Access, 2022
Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022
CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
CANnolo: An Anomaly Detection System Based on LSTM Autoencoders for Controller Area Network.
IEEE Trans. Netw. Serv. Manag., 2021
2020
Proceedings of the 23rd International Symposium on Research in Attacks, 2020
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020
2019
Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems.
CoRR, 2019
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019
CopyCAN: An Error-Handling Protocol based Intrusion Detection System for Controller Area Network.
Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy, 2019
2018
ACM Trans. Priv. Secur., 2018
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2018
Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2018
Proceedings of the 8th Software Security, 2018
2017
Proceedings of the Cyber Security Cryptography and Machine Learning, 2017
2015
BankSealer: A decision support system for online banking fraud analysis and investigation.
Comput. Secur., 2015
2014
Proceedings of the ICT Systems Security and Privacy Protection, 2014