Luca Demetrio

Orcid: 0000-0001-5104-1476

According to our database¹, Luca Demetrio authored at least 31 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Hardening RGB-D object recognition systems against adversarial patch attacks.

[BibT_eX]

[DOI]

Yang Zheng

Luca Demetrio

Antonio Emanuele Cinà

Inf. Sci., December, 2023

ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Nebula: Self-Attention for Dynamic Malware Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Cybersecurity and AI: The PRALab Research Experience.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

AI Security and Safety: The PRALab Research Experience.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2022

secml: Secure and explainable machine learning in Python.

[BibT_eX]

[DOI]

SoftwareX, 2022

Towards learning trustworthily, automatically, and with guarantees on graphs: An overview.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware.

[BibT_eX]

[DOI]

Luca Demetrio

Battista Biggio

Fabio Roli

IEEE Secur. Priv., 2022

A Survey on Reinforcement Learning Security with Application to Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation.

[BibT_eX]

[DOI]

CoRR, 2022

Practical Evaluation of Poisoning Attacks on Online Anomaly Detectors in Industrial Control Systems.

[BibT_eX]

[DOI]

Comput. Secur., 2022

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Explaining Machine Learning DGA Detectors from DNS Traffic Data.

[BibT_eX]

[DOI]

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

Robust Machine Learning for Malware Detection over Time.

[BibT_eX]

[DOI]

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

2021

Formalizing evasion attacks against machine learning security detectors.

[BibT_eX]

[DOI]

Luca Demetrio

PhD thesis, 2021

Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection.

[BibT_eX]

[DOI]

ACM Trans. Priv. Secur., 2021

Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2021

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2021

secml-malware: A Python Library for Adversarial Robustness Evaluation of Windows Malware Classifiers.

[BibT_eX]

[DOI]

Luca Demetrio

Battista Biggio

CoRR, 2021

Slope: A First-order Approach for Measuring Gradient Obfuscation.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs.

[BibT_eX]

[DOI]

SoftwareX, 2020

Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations.

[BibT_eX]

[DOI]

CoRR, 2020

WAF-A-MoLE: evading web application firewalls through adversarial machine learning.

[BibT_eX]

[DOI]

Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries.

[BibT_eX]

[DOI]

Proceedings of the Third Italian Conference on Cyber Security, 2019

ZenHackAdemy: Ethical Hacking @ DIBRIS.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Computer Supported Education, 2019

Luca Demetrio

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