Giulio Pagnotta

Orcid: 0000-0002-4626-6045

According to our database1, Giulio Pagnotta authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
OliVaR: Improving olive variety recognition using deep neural networks.
Comput. Electron. Agric., January, 2024

FedComm: Federated Learning as a Medium for Covert Communication.
IEEE Trans. Dependable Secur. Comput., 2024

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem.
CoRR, 2024

2023
DOLOS: A Novel Architecture for Moving Target Defense.
IEEE Trans. Inf. Forensics Secur., 2023

Minerva: A File-Based Ransomware Detector.
CoRR, 2023

2022
Reliable detection of compressed and encrypted data.
Neural Comput. Appl., 2022

Evading behavioral classifiers: a comprehensive analysis on evading ransomware detection techniques.
Neural Comput. Appl., 2022

TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding.
CoRR, 2022

MaleficNet: Hiding Malware into Deep Neural Networks Using Spread-Spectrum Channel Coding.
Proceedings of the Computer Security - ESORICS 2022, 2022

PassFlow: Guessing Passwords with Generative Flows.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial Training.
CoRR, 2021

2020
EnCoD: Distinguishing Compressed and Encrypted File Fragments.
Proceedings of the Network and System Security - 14th International Conference, 2020

The Naked Sun: Malicious Cooperation Between Benign-Looking Processes.
Proceedings of the Applied Cryptography and Network Security, 2020


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