Carlo Mazzocca

Orcid: 0000-0001-8949-2221

According to our database1, Carlo Mazzocca authored at least 24 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics.
IEEE Trans. Neural Networks Learn. Syst., July, 2025

Compact and Selective Disclosure for Verifiable Credentials.
CoRR, June, 2025

Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients.
CoRR, April, 2025

Evaluating Large Language Models for Vulnerability Detection Under Realistic Conditions.
Proceedings of the Availability, Reliability and Security, 2025

2024
Enabling Federated Learning at the Edge through the IOTA Tangle.
Future Gener. Comput. Syst., March, 2024

Secure software development and testing: A model-based methodology.
Comput. Secur., February, 2024

A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy.
Inf. Sci., January, 2024

Adaptable security in the cloud-to-thing continuum.
PhD thesis, 2024

Designing Secure and Resilient Cyber-Physical Systems: A Model-Based Moving Target Defense Approach.
IEEE Trans. Emerg. Top. Comput., 2024

A Survey on Decentralized Identifiers and Verifiable Credentials.
CoRR, 2024

DIVA: A DID-based reputation system for secure transmission in VANETs using IOTA.
Comput. Networks, 2024

EVOKE: Efficient Revocation of Verifiable Credentials in IoT Networks.
Proceedings of the 33rd USENIX Security Symposium, 2024

Flexible and Secure Process Confinement with eBPF.
Proceedings of the Security and Trust Management - 20th International Workshop, 2024

Certifying IoT Data with Verifiable Credentials.
Proceedings of the 22nd International Symposium on Network Computing and Applications, 2024

Membership Proof in Federated Learning via Cryptographic Accumulators.
Proceedings of the 6th International Conference on Blockchain Computing and Applications, 2024

2023
FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare.
IEEE Trans. Comput. Soc. Syst., August, 2023

P-IOTA: A Cloud-Based Geographically Distributed Threat Alert System That Leverages P4 and IOTA.
Sensors, March, 2023

Machine Learning Insights for Behavioral Data Analysis Supporting the Autonomous Vehicles Scenario.
IEEE Internet Things J., February, 2023

TruFLaaS: Trustworthy Federated Learning as a Service.
IEEE Internet Things J., 2023

Federated Learning Meets Blockchain: a Power Consumption Case Study.
Proceedings of the 31st Euromicro International Conference on Parallel, 2023

2022
Evaluating Tangle Distributed Ledger for Access Control Policy Distribution in Multi-region Cloud Environments.
Proceedings of the Quality of Information and Communications Technology, 2022

A Fully Decentralized Architecture for Access Control Verification in Serverless Environments.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

A Decentralized Architecture for Dynamic and Federated Access Control Facilitating Smart Tourism Services.
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022

2021
Toward Automated Threat Modeling of Edge Computing Systems.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021


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