Marco Arazzi

Orcid: 0000-0002-3371-307X

According to our database1, Marco Arazzi authored at least 18 papers between 2022 and 2024.

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

Timeline

Legend:

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Bibliography

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

Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning.
CoRR, 2024

Let's Focus: Focused Backdoor Attack against Federated Transfer Learning.
CoRR, 2024

KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning.
CoRR, 2024

The SemIoE Ontology: A Semantic Model Solution for an IoE-based Industry.
CoRR, 2024

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

NLP-Based Techniques for Cyber Threat Intelligence.
CoRR, 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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