Marco Arazzi

According to our database, Marco Arazzi authored at least 29 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

When Forgetting Triggers Backdoors: A Clean Unlearning Attack.

Marco Arazzi, Antonino Nocera, Vinod P

CoRR, June, 2025

XBreaking: Explainable Artificial Intelligence for Jailbreaking LLMs.

Marco Arazzi, Vignesh Kumar Kembu, Antonino Nocera, Vinod P.

CoRR, April, 2025

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings.

Marco Arazzi, Mert Cihangiroglu, Antonino Nocera

CoRR, March, 2025

A Fully Privacy-Preserving Solution for Anomaly Detection in IoT using Federated Learning and Homomorphic Encryption.

Marco Arazzi, Serena Nicolazzo, Antonino Nocera

Inf. Syst. Frontiers, February, 2025

Secure Federated Data Distillation.

Marco Arazzi, Mert Cihangiroglu, Serena Nicolazzo, Antonino Nocera

CoRR, February, 2025

Augmented Knowledge Graph Querying leveraging LLMs.

Marco Arazzi, Davide Ligari, Serena Nicolazzo, Antonino Nocera

CoRR, February, 2025

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

Jiaxin Li, Marco Arazzi, Antonino Nocera, Mauro Conti

J. Inf. Secur. Appl., 2025

DroidTTP: Mapping android applications with TTP for Cyber Threat Intelligence.

Dincy R. Arikkat, P. Vinod, Rafidha Rehiman K. A., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Mauro Conti

J. Inf. Secur. Appl., 2025

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

Marco Arazzi, Serena Nicolazzo, Antonino Nocera

Neurocomputing, 2025

Evading model poisoning attacks in federated learning by a long-short-term-memory-based approach.

Marco Arazzi, Gianluca Lax, Antonino Nocera

Integr. Comput. Aided Eng., 2025

NLP-based techniques for Cyber Threat Intelligence.

Marco Arazzi, Dincy R. Arikkat, Serena Nicolazzo, Antonino Nocera, Rafidha Rehiman K. A., Vinod P., Mauro Conti

Comput. Sci. Rev., 2025

2024

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

Marco Arazzi, Antonino Nocera, Emanuele Storti

IEEE Internet Things J., December, 2024

PhotoStyle60: A Photographic Style Dataset for Photo Authorship Attribution and Photographic Style Transfer.

Marco Cotogni, Marco Arazzi, Claudio Cusano

IEEE Trans. Multim., 2024

A novel IoT trust model leveraging fully distributed behavioral fingerprinting and secure delegation.

Marco Arazzi, Serena Nicolazzo, Antonino Nocera

Pervasive Mob. Comput., 2024

A deep reinforcement learning approach for security-aware service acquisition in IoT.

Marco Arazzi, Serena Nicolazzo, Antonino Nocera

J. Inf. Secur. Appl., 2024

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

Marco Arazzi, Stefanos Koffas, Antonino Nocera, Stjepan Picek

CoRR, 2024

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

Marco Arazzi, Serena Nicolazzo, Antonino Nocera

CoRR, 2024

Privacy-preserving in Blockchain-based Federated Learning systems.

K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P., Mauro Conti

Comput. Commun., 2024

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

Marco Arazzi, Dincy R. Arikkat, Mert Cihangiroglu, K. M. Sameera

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

How COVID-19 affects user interaction with online streaming service providers on twitter.

Marco Arazzi, Daniele Murer, Serena Nicolazzo, Antonino Nocera

Soc. Netw. Anal. Min., December, 2023

The role of social media on the evolution of companies: A Twitter analysis of Streaming Service Providers.

Marco Arazzi, Marco Ferretti, Serena Nicolazzo, Antonino Nocera

Online Soc. Networks Media, July, 2023

The importance of the language for the evolution of online communities: An analysis based on Twitter and Reddit.

Marco Arazzi, Serena Nicolazzo, Antonino Nocera, Manuel Zippo

Expert Syst. Appl., July, 2023

BlindSage: Label Inference Attacks against Node-level Vertical Federated Graph Neural Networks.

Marco Arazzi, Mauro Conti, Stefanos Koffas, Marina Krcek, Antonino Nocera, Stjepan Picek, Jing Xu

CoRR, 2023

Semantic Hierarchical Indexing for Online Video Lessons Using Natural Language Processing.

Marco Arazzi, Marco Ferretti, Antonino Nocera

Big Data Cogn. Comput., 2023

Predicting Tweet Engagement with Graph Neural Networks.

Marco Arazzi, Marco Cotogni, Antonino Nocera, Luca Virgili

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Turning Privacy-preserving Mechanisms against Federated Learning.

Marco Arazzi, Mauro Conti, Antonino Nocera, Stjepan Picek

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

An enhanced behavioral fingerprinting approach for the Internet of Things.

Alberico Aramini, Marco Arazzi, Tullio Facchinetti, Laurence S. Q. N. Ngankem, Antonino Nocera

Proceedings of the 18th IEEE International Conference on Factory Communication Systems, 2022

Analysis of Video Lessons: a Case for Smart indexing and Topic Extraction.

Marco Arazzi, Marco Ferretti, Antonino Nocera

Proceedings of the 1st Italian Conference on Big Data and Data Science (itaDATA 2022), 2022

Time series forecasting for predictive maintenance of refrigeration systems.

Tullio Facchinetti, Marco Arazzi, Antonino Nocera

Proceedings of the IEEE Intl. Conf. on Dependable, 2022