Fabio Roli

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 150

Top Venues

Publications

Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Machine Learning Security Against Data Poisoning: Are We There Yet? Computer 57 (3) (2024)
Zhishan Li, Hongxu Chen, Battista Biggio, Yifan He, Haoran Cai, Fabio Roli, Lei Xie
Toward Effective Traffic Sign Detection via Two-Stage Fusion Neural Networks. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Jie Gao, Marco Micheletto, Giulia Orrù, Sara Concas, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection. Eng. Appl. Artif. Intell. 133 (2024)
Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks. CoRR (2024)
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Basil AsSadhan, Fabio Roli
Countermeasures Against Adversarial Examples in Radio Signal Classification. CoRR (2024)
Giulia Boato, Francesco G. B. De Natale, Gianluca De Stefano, Cecilia Pasquini, Fabio Roli
Adversarial mimicry attacks against image splicing forensics: An approach for jointly hiding manipulations and creating false detections. Pattern Recognit. Lett. 179 (2024)
Zhang Chen, Luca Demetrio, Srishti Gupta, Xiaoyi Feng, Zhaoqiang Xia, Antonio Emanuele Cinà, Maura Pintor, Luca Oneto, Ambra Demontis, Battista Biggio, Fabio Roli
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis. CoRR (2024)
Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples. CoRR (2024)
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation. CoRR (2024)
Simone Maurizio La Cava, Giulia Orrù, Martin Drahanský, Gian Luca Marcialis, Fabio Roli
3D Face Reconstruction: The Road to Forensics. ACM Comput. Surv. 56 (3) (2024)
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Nebula: Self-Attention for Dynamic Malware Analysis. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR (2024)
Matous Kozák, Luca Demetrio, Dmitrijs Trizna, Fabio Roli
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples. CoRR (2024)
Gian Luca Marcialis, Paolo Mastinu, Fabio Roli
Serial fusion of multi-modal biometric systems. CoRR (2024)
Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. CoRR (2024)
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Guisheng Liao, Ambra Demontis, Fabio Roli
A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification. CoRR (2024)
Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines. CoRR (2024)
J. DeMarchi, R. Rijken, J. Melrose, B. Madahar, Giorgio Fumera, Fabio Roli, Emanuele Ledda, Metin Aktas, Frank Kurth, Paul M. Baggenstoss, Björn Pelzer, L. Kanestad
Evaluation of Robustness Metrics for Defense of Machine Learning Systems. ICMCIS (2023)
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Guisheng Liao, Basil AsSadhan, Fabio Roli
Attention-Based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices. IEEE Internet Things J. 10 (3) (2023)
Jie Gao, Sara Concas, Giulia Orrù, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
Generalized Deepfake Detection Algorithm Based on Inconsistency Between Inner and Outer Faces. ICIAP Workshops (1) (2023)
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. CoRR (2023)
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
Hardening RGB-D object recognition systems against adversarial patch attacks. Inf. Sci. 651 (2023)
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli
Why adversarial reprogramming works, when it fails, and how to tell the difference. Inf. Sci. 632 (2023)
Yang Zheng, Luca Demetrio, Antonio Emanuele Cinà, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Battista Biggio, Fabio Roli
Hardening RGB-D Object Recognition Systems against Adversarial Patch Attacks. CoRR (2023)
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Nebula: Self-Attention for Dynamic Malware Analysis. CoRR (2023)
Emanuele Ledda, Giorgio Fumera, Fabio Roli
Dropout injection at test time for post hoc uncertainty quantification in neural networks. Inf. Sci. 645 (2023)
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli
Stateful detection of adversarial reprogramming. Inf. Sci. 642 (2023)
Emanuele Ledda, Giorgio Fumera, Fabio Roli
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks. CoRR (2023)
Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. ICIAP (2) (2023)
Roberto Casula, Marco Micheletto, Giulia Orrù, Gian Luca Marcialis, Fabio Roli
Towards realistic fingerprint presentation attacks: The ScreenSpoof method. Pattern Recognit. Lett. 171 (2023)
Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli
Adversarial Attacks Against Uncertainty Quantification. ICCV (Workshops) (2023)
Simone Maurizio La Cava, Giulia Orrù, Martin Drahanský, Gian Luca Marcialis, Fabio Roli
3D Face Reconstruction: the Road to Forensics. CoRR (2023)
Emanuele Ledda, Rita Delussu, Lorenzo Putzu, Giorgio Fumera, Fabio Roli
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting. ICIAP (2) (2023)
Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches. Pattern Recognit. 134 (2023)
Lei Li, Zongwei Li, Huijian Han, Lei Yang, Xiaoyi Feng, Fabio Roli, Zhaoqiang Xia
Wooden spoon crack detection by prior knowledge-enriched deep convolutional network. Eng. Appl. Artif. Intell. 126 (2023)
Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) (2023)
Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Giorgio Fumera, Fabio Roli
Trustworthy AI in Video Surveillance: The IMMAGINA Project. Ital-IA (2023)
Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli
AI Security and Safety: The PRALab Research Experience. Ital-IA (2023)
Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli
Cybersecurity and AI: The PRALab Research Experience. Ital-IA (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55 (13s) (2023)
Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli
Adversarial Attacks Against Uncertainty Quantification. CoRR (2023)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR (2022)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. NeurIPS (2022)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. CoRR (2022)
Andrea Panzino, Giulia Orrù, Gian Luca Marcialis, Fabio Roli
EEG personal recognition based on 'qualified majority' over signal patches. IET Biom. 11 (1) (2022)
Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli
Do gradient-based explanations tell anything about adversarial robustness to android malware? Int. J. Mach. Learn. Cybern. 13 (1) (2022)
Luca Demetrio, Battista Biggio, Fabio Roli
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. CoRR (2022)
Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Machine Learning Security against Data Poisoning: Are We There Yet? CoRR (2022)
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli
Stateful Detection of Adversarial Reprogramming. CoRR (2022)
Luca Demetrio, Battista Biggio, Fabio Roli
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. IEEE Secur. Priv. 20 (5) (2022)
Sara Concas, Jie Gao, Carlo Cuccu, Giulia Orrù, Xiaoyi Feng, Gian Luca Marcialis, Giovanni Puglisi, Fabio Roli
Experimental Results on Multi-modal Deepfake Detection. ICIAP (2) (2022)
Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli
Support Vector Machines under Adversarial Label Contamination. CoRR (2022)
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Guisheng Liao, Ambra Demontis, Fabio Roli
A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification. IEEE Wirel. Commun. Lett. 11 (6) (2022)
Ambra Demontis, Maura Pintor, Luca Demetrio, Kathrin Grosse, Hsiao-Ying Lin, Chengfang Fang, Battista Biggio, Fabio Roli
A Survey on Reinforcement Learning Security with Application to Autonomous Driving. CoRR (2022)
Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Giorgio Fumera, Fabio Roli
On the Evaluation of Video-Based Crowd Counting Models. ICIAP (3) (2022)
Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Energy-Latency Attacks via Sponge Poisoning. CoRR (2022)
Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions. CoRR (2021)
Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli
Can machines learn to see without visual databases? CoRR (2021)
Luke Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gill Dobbie, Jörg Wicker
Intriguing Usage of Applicability Domain: Lessons from Cheminformatics Applied to Adversarial Learning. CoRR (2021)
Paul Temple, Gilles Perrouin, Mathieu Acher, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli
Empirical assessment of generating adversarial configurations for software product lines. Empir. Softw. Eng. 26 (1) (2021)
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? CoRR (2021)
Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Ambra Demontis, Maura Pintor, Battista Biggio, Fabio Roli
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference. CoRR (2021)
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Fabio Roli
A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification. GLOBECOM (2021)
Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. CoRR (2021)
Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Basil AsSadhan, Fabio Roli
Countermeasures Against Adversarial Examples in Radio Signal Classification. IEEE Wirel. Commun. Lett. 10 (8) (2021)
Marco Micheletto, Gian Luca Marcialis, Giulia Orrù, Fabio Roli
Fingerprint recognition with embedded presentation attacks detection: are we ready? CoRR (2021)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. CoRR (2021)
Maura Pintor, Luca Demetrio, Giovanni Manca, Battista Biggio, Fabio Roli
Slope: A First-order Approach for Measuring Gradient Obfuscation. ESANN (2021)
Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? IJCNN (2021)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. NeurIPS (2021)
Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. ACM Trans. Priv. Secur. 24 (4) (2021)
Marco Micheletto, Gian Luca Marcialis, Giulia Orrù, Fabio Roli
Fingerprint Recognition With Embedded Presentation Attacks Detection: Are We Ready? IEEE Trans. Inf. Forensics Secur. 16 (2021)
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang, Fabio Roli, Xiaoyi Feng
CompactNet: learning a compact space for face presentation attack detection. Neurocomputing 409 (2020)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations. CoRR (2020)
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang, Yupeng Ma, Fabio Roli, Xiaoyi Feng
3D face mask presentation attack detection based on intrinsic image analysis. IET Biom. 9 (3) (2020)
Giulia Orrù, Gian Luca Marcialis, Fabio Roli
A novel classification-selection approach for the self updating of template-based face recognition systems. Pattern Recognit. 100 (2020)
Marco Melis, Michele Scalas, Ambra Demontis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli
Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware? CoRR (2020)
Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? ICPR (2020)
Davide Maiorca, Ambra Demontis, Battista Biggio, Fabio Roli, Giorgio Giacinto
Adversarial Detection of Flash Malware: Limitations and Open Issues. Comput. Secur. 96 (2020)
Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli
Detecting Anomalies from Video-Sequences: a Novel Descriptor. ICPR (2020)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? CoRR (2020)
Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli
Adversarial Feature Selection against Evasion Attacks. CoRR (2020)
Rita Delussu, Lorenzo Putzu, Giorgio Fumera, Fabio Roli
Online Domain Adaptation for Person Re-Identification with a Human in the Loop. ICPR (2020)
Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli
Detecting Anomalies from Video-Sequences: a Novel Descriptor. CoRR (2020)
Lei Li, Zhaoqiang Xia, Huijian Han, Guiqing He, Fabio Roli, Xiaoyi Feng
Infrared and visible image fusion using a shallow CNN and structural similarity constraint. IET Image Process. 14 (14) (2020)
Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection. CoRR (2020)
Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli
Deep neural rejection against adversarial examples. EURASIP J. Inf. Secur. 2020 (2020)
Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? CoRR (2020)
Giulia Orrù, Gian Luca Marcialis, Fabio Roli
A novel classification-selection approach for the self updating of template-based face recognition systems. CoRR (2019)
Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks. USENIX Security Symposium (2019)
Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection. IEEE Trans. Dependable Secur. Comput. 16 (4) (2019)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. CoRR (2019)
Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. ITASEC (2019)
Lei Li, Zhaoqiang Xia, Xiaoyue Jiang, Yupeng Ma, Fabio Roli, Xiaoyi Feng
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis. CoRR (2019)
Alessandro Carcangiu, Lucio Davide Spano, Giorgio Fumera, Fabio Roli
DEICTIC: A compositional and declarative gesture description based on hidden markov models. Int. J. Hum. Comput. Stud. 122 (2019)
Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli
Deep Neural Rejection against Adversarial Examples. CoRR (2019)
Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli
Towards Quality Assurance of Software Product Lines with Adversarial Configurations. CoRR (2019)
Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli
Towards quality assurance of software product lines with adversarial configurations. SPLC (A) (2019)

Fabio Roli.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Fabio Roli