Luca Demetrio

About Luca Demetrio

Luca Demetrio, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Università degli Studi di Cagliari, specializes in the field of Computer Security, Adversarial Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De) Randomized Smoothing

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

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

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Hardening RGB-D object recognition systems against adversarial patch attacks

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

Nebula: Self-Attention for Dynamic Malware Analysis

Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning

Luca Demetrio Information

University

Position

___

Citations(all)

574

Citations(since 2020)

572

Cited By

51

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Google Scholar

Luca Demetrio Skills & Research Interests

Computer Security

Adversarial Machine Learning

Top articles of Luca Demetrio

Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De) Randomized Smoothing

arXiv preprint arXiv:2405.00392

2024/5/1

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

arXiv preprint arXiv:2404.19460

2024/4/30

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

arXiv preprint arXiv:2402.18329

2024/2/28

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

arXiv preprint arXiv:2402.17390

2024/2/27

Hardening RGB-D object recognition systems against adversarial patch attacks

Information Sciences

2023/12/1

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

2023/11/30

Nebula: Self-Attention for Dynamic Malware Analysis

arXiv preprint arXiv:2310.10664

2023/9/19

Adversarial ModSecurity: Countering Adversarial SQL Injections with Robust Machine Learning

arXiv preprint arXiv:2308.04964

2023/8/9

Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving

2023/7/9

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

Pattern Recognition

2023/2/1

Cybersecurity and AI: The PRALab Research Experience

CEUR WORKSHOP PROCEEDINGS

2023

AI Security and Safety: The PRALab Research Experience

CEUR WORKSHOP PROCEEDINGS

2023

Phantom sponges: Exploiting non-maximum suppression to attack deep object detectors

2023

Luca Demetrio
Luca Demetrio

H-Index: 3

Battista Biggio
Battista Biggio

H-Index: 33

Explaining machine learning DGA detectors from DNS traffic data

2022/8/10

secml: Secure and Explainable Machine Learning in Python

SoftwareX

2022/6/1

A survey on reinforcement learning security with application to autonomous driving

arXiv preprint arXiv:2212.06123

2022/12/12

Practical evaluation of poisoning attacks on online anomaly detectors in industrial control systems

Computers & Security

2022/11/1

Luca Demetrio
Luca Demetrio

H-Index: 3

Battista Biggio
Battista Biggio

H-Index: 33

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

IEEE Security & Privacy

2022/7/12

Adversarial EXEmples: a survey and experimental evaluation of practical attacks on machine learning for windows malware detection

ACM Transactions on Privacy and Security (TOPS)

2021/9/2

See List of Professors in Luca Demetrio University(Università degli Studi di Cagliari)

Co-Authors

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