Marco Arazzi

Orcid: 0000-0002-3371-307X

According to our database1, Marco Arazzi authored at least 43 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

Security in LLM-as-a-Judge: A Comprehensive SoK.
CoRR, March, 2026

SecureBreak - A dataset towards safe and secure models.
CoRR, March, 2026

LoRA as Oracle.
CoRR, January, 2026

SD-RAG: A Prompt-Injection-Resilient Framework for Selective Disclosure in Retrieval-Augmented Generation.
CoRR, January, 2026

Let's focus: Focused backdoor attack against federated transfer learning.
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
SoK: The Last Line of Defense: On Backdoor Defense Evaluation.
CoRR, November, 2025

When Forgetting Triggers Backdoors: A Clean Unlearning Attack.
CoRR, June, 2025

XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs.
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

Secure Federated Data Distillation.
CoRR, February, 2025

Sicurezza basata sull'AI per l'Internet of Things e Federated Learning.
PhD thesis, 2025

RAG-IoE: IoT context-aware information retrieval with Large Language Models in Industry 5.0.
ACM Trans. Internet Things, 2025

Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning.
J. Inf. Secur. Appl., 2025

DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence.
J. Inf. Secur. Appl., 2025

A defense mechanism against label inference attacks in Vertical Federated Learning.
Neurocomputing, 2025

Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach.
Integr. Comput. Aided Eng., 2025

Secure Federated Dataset Distillation.
Eng. Appl. Artif. Intell., 2025

NLP-based techniques for Cyber Threat Intelligence.
Comput. Sci. Rev., 2025

Augmented Knowledge Graph Querying leveraging LLMs.
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

An IoE-based Framework Supporting Human-Centric Industry.
Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

2024
The SemIoE Ontology: A Semantic Model Solution for an IoE-Based Industry.
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

Privacy-preserving in Blockchain-based Federated Learning systems.
Comput. Commun., 2024

A Privacy-Preserving Byzantine-Aware Swarm Learning Framework for CTI.
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

Predicting Tweet Engagement with Graph Neural Networks.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Turning Privacy-preserving Mechanisms against Federated Learning.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
An enhanced behavioral fingerprinting approach for the Internet of Things.
Proceedings of the 18th IEEE International Conference on Factory Communication Systems, 2022

Analysis of Video Lessons: a Case for Smart indexing and Topic Extraction.
Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

Time series forecasting for predictive maintenance of refrigeration systems.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022


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