Marco Arazzi
Orcid: 0000-0002-3371-307X
According to our database1,
Marco Arazzi authored at least 43 papers
between 2022 and 2026.
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Bibliography
2026
You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation.
CoRR, May, 2026
Exploring Structural Complexity in Normative RAG with Graph-based approaches: A case study on the ETSI Standards.
CoRR, April, 2026
SD-RAG: A Prompt-Injection-Resilient Framework for Selective Disclosure in Retrieval-Augmented Generation.
CoRR, January, 2026
Neurocomputing, 2026
SD-RAG: A framework for secure selective disclosure in retrieval-augmented generation against single-turn prompt-leaking attacks.
Expert Syst. Appl., 2026
2025
CoRR, April, 2025
Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings.
CoRR, March, 2025
A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption.
Inf. Syst. Frontiers, February, 2025
PhD thesis, 2025
RAG-IoE: IoT context-aware information retrieval with Large Language Models in Industry 5.0.
ACM Trans. Internet Things, 2025
J. Inf. Secur. Appl., 2025
J. Inf. Secur. Appl., 2025
Neurocomputing, 2025
Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach.
Integr. Comput. Aided Eng., 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
Securing IoE Environments with Semantic Data Stream Analysis and Behavioral Fingerprinting.
Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025
A Privacy-Preserving and Biometric-Aware Tasks Reallocation Strategy in Industry 5.0.
Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025
Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025
2024
IEEE Internet Things J., December, 2024
PhotoStyle60: A Photographic Style Dataset for Photo Authorship Attribution and Photographic Style Transfer.
IEEE Trans. Multim., 2024
A novel IoT trust model leveraging fully distributed behavioral fingerprinting and secure delegation.
Pervasive Mob. Comput., 2024
A deep reinforcement learning approach for security-aware service acquisition in IoT.
J. Inf. Secur. Appl., 2024
KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning.
CoRR, 2024
Comput. Commun., 2024
Proceedings of the Annual Computer Security Applications Conference, 2024
2023
How COVID-19 affects user interaction with online streaming service providers on twitter.
Soc. Netw. Anal. Min., December, 2023
The role of social media on the evolution of companies: A Twitter analysis of Streaming Service Providers.
Online Soc. Networks Media, July, 2023
The importance of the language for the evolution of online communities: An analysis based on Twitter and Reddit.
Expert Syst. Appl., July, 2023
BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks.
CoRR, 2023
Semantic Hierarchical Indexing for Online Video Lessons Using Natural Language Processing.
Big Data Cogn. Comput., 2023
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
Proceedings of the 18th IEEE International Conference on Factory Communication Systems, 2022
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022
Proceedings of the IEEE Intl. Conf. on Dependable, 2022