Fabio Roli

About Fabio Roli

Fabio Roli, With an exceptional h-index of 79 and a recent h-index of 50 (since 2020), a distinguished researcher at Università degli Studi di Cagliari, specializes in the field of Pattern recognition, machine learning, computer vision, computer security.

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

Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks

Machine learning security against data poisoning: Are we there yet?

Adversarial mimicry attacks against image splicing forensics: An approach for jointly hiding manipulations and creating false detections

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

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Wooden spoon crack detection by prior knowledge-enriched deep convolutional network

Fabio Roli Information

University

Position

Professor Italy

Citations(all)

25176

Citations(since 2020)

12006

Cited By

18171

hIndex(all)

79

hIndex(since 2020)

50

i10Index(all)

271

i10Index(since 2020)

157

Email

University Profile Page

Google Scholar

Fabio Roli Skills & Research Interests

Pattern recognition

machine learning

computer vision

computer security

Top articles of Fabio Roli

Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection

Engineering Applications of Artificial Intelligence

2024/7/1

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

arXiv preprint arXiv:2404.19460

2024/4/30

Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks

IEEE Transactions on Intelligent Transportation Systems

2024/3/18

Machine learning security against data poisoning: Are we there yet?

2024/3/6

Adversarial mimicry attacks against image splicing forensics: An approach for jointly hiding manipulations and creating false detections

Pattern Recognition Letters

2024/3/1

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

Wooden spoon crack detection by prior knowledge-enriched deep convolutional network

Engineering Applications of Artificial Intelligence

2023/11/1

3D Face Reconstruction: The Road to Forensics

2023/10/21

Dropout injection at test time for post hoc uncertainty quantification in neural networks

Information Sciences

2023/10/1

Giorgio Fumera
Giorgio Fumera

H-Index: 26

Fabio Roli
Fabio Roli

H-Index: 51

Nebula: Self-Attention for Dynamic Malware Analysis

arXiv preprint arXiv:2310.10664

2023/9/19

Generalized Deepfake Detection Algorithm Based on Inconsistency Between Inner and Outer Faces

2023/9/11

BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting

2023/9/5

Minimizing energy consumption of deep learning models by energy-aware training

2023/9/5

Stateful detection of adversarial reprogramming

Information Sciences

2023/9/1

Wild patterns reloaded: A survey of machine learning security against training data poisoning

2023/7/13

Towards realistic fingerprint presentation attacks: The screenspoof method

Pattern Recognition Letters

2023/7/1

Gian Luca Marcialis
Gian Luca Marcialis

H-Index: 24

Fabio Roli
Fabio Roli

H-Index: 51

Why adversarial reprogramming works, when it fails, and how to tell the difference

Information Sciences

2023/6/1

BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability

2023/5/25

Evaluation of Robustness Metrics for Defense of Machine Learning Systems

2023/5/16

See List of Professors in Fabio Roli University(Università degli Studi di Cagliari)

Co-Authors

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