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Fabio Roli
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- affiliation: University of Cagliari, Italy
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2020 – today
- 2025
- [j114]Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli:
SLIFER: Investigating performance and robustness of malware detection pipelines. Comput. Secur. 150: 104264 (2025) - [j113]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. Neurocomputing 616: 128918 (2025) - 2024
- [j112]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): 26-34 (2024) - [j111]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): 77:1-77:38 (2024) - [j110]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: 108450 (2024) - [j109]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: 73-79 (2024) - [j108]Dmitrijs Trizna
, Luca Demetrio
, Battista Biggio
, Fabio Roli
:
Nebula: Self-Attention for Dynamic Malware Analysis. IEEE Trans. Inf. Forensics Secur. 19: 6155-6167 (2024) - [j107]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): 8283-8294 (2024) - [i74]Gian Luca Marcialis, Paolo Mastinu, Fabio Roli:
Serial fusion of multi-modal biometric systems. CoRR abs/2401.13418 (2024) - [i73]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 abs/2402.17390 (2024) - [i72]Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli:
Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation. CoRR abs/2402.18329 (2024) - [i71]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 abs/2404.19460 (2024) - [i70]Matous Kozák, Luca Demetrio, Dmitrijs Trizna, Fabio Roli:
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples. CoRR abs/2405.02646 (2024) - [i69]Andrea Ponte, Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Ivan Tesfai Ogbu, Fabio Roli:
SLIFER: Investigating Performance and Robustness of Malware Detection Pipelines. CoRR abs/2405.14478 (2024) - [i68]Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli:
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection. CoRR abs/2405.14519 (2024) - [i67]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 abs/2406.10090 (2024) - [i66]Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Basil AsSadhan, Fabio Roli:
Countermeasures Against Adversarial Examples in Radio Signal Classification. CoRR abs/2407.06796 (2024) - [i65]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 abs/2407.06807 (2024) - [i64]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 abs/2407.08806 (2024) - [i63]Francesco Villani, Dario Lazzaro, Antonio Emanuele Cinà, Matteo Dell'Amico, Battista Biggio, Fabio Roli:
Sonic: Fast and Transferable Data Poisoning on Clustering Algorithms. CoRR abs/2408.07558 (2024) - [i62]Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness. CoRR abs/2409.01249 (2024) - [i61]Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli:
On the Robustness of Adversarial Training Against Uncertainty Attacks. CoRR abs/2410.21952 (2024) - [i60]Francesco Villani, Igor Maljkovic, Dario Lazzaro, Angelo Sotgiu, Antonio Emanuele Cinà, Fabio Roli:
Robust image classification with multi-modal large language models. CoRR abs/2412.10353 (2024) - [i59]Saskia Laura Schröer, Giovanni Apruzzese, Soheil Human, Pavel Laskov, Hyrum S. Anderson, Edward W. N. Bernroider, Aurore Fass, Ben Nassi, Vera Rimmer, Fabio Roli, Samer Salam, Ashley Shen, Ali Sunyaev, Tim Wadwha-Brown, Isabel Wagner, Gang Wang:
SoK: On the Offensive Potential of AI. CoRR abs/2412.18442 (2024) - 2023
- [j106]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): 294:1-294:39 (2023) - [j105]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: 106810 (2023) - [j104]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): 2646-2657 (2023) - [j103]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: 130-143 (2023) - [j102]Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor
, Ambra Demontis
, Battista Biggio
, Fabio Roli:
Stateful detection of adversarial reprogramming. Inf. Sci. 642: 119093 (2023) - [j101]Emanuele Ledda
, Giorgio Fumera, Fabio Roli
:
Dropout injection at test time for post hoc uncertainty quantification in neural networks. Inf. Sci. 645: 119356 (2023) - [j100]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: 119701 (2023) - [j99]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: 109064 (2023) - [j98]Roberto Casula, Marco Micheletto, Giulia Orrù
, Gian Luca Marcialis, Fabio Roli
:
Towards realistic fingerprint presentation attacks: The ScreenSpoof method. Pattern Recognit. Lett. 171: 192-200 (2023) - [c190]Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli:
Adversarial Attacks Against Uncertainty Quantification. ICCV (Workshops) 2023: 4601-4610 - [c189]Emanuele Ledda
, Rita Delussu
, Lorenzo Putzu
, Giorgio Fumera
, Fabio Roli
:
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting. ICIAP (2) 2023: 307-319 - [c188]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: 343-355 - [c187]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: 515-526 - [c186]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: 1-12 - [c185]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: 324-328 - [c184]Emanuele Ledda, Lorenzo Putzu, Rita Delussu, Giorgio Fumera, Fabio Roli:
Trustworthy AI in Video Surveillance: The IMMAGINA Project. Ital-IA 2023: 371-376 - [c183]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: 426-431 - [c182]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: 3-14 - [i58]Emanuele Ledda
, Giorgio Fumera, Fabio Roli:
Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks. CoRR abs/2302.02924 (2023) - [i57]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 abs/2307.00368 (2023) - [i56]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 abs/2309.07106 (2023) - [i55]Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli:
Adversarial Attacks Against Uncertainty Quantification. CoRR abs/2309.10586 (2023) - [i54]Simone Maurizio La Cava, Giulia Orrù, Martin Drahanský, Gian Luca Marcialis, Fabio Roli:
3D Face Reconstruction: the Road to Forensics. CoRR abs/2309.11357 (2023) - [i53]Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli:
Nebula: Self-Attention for Dynamic Malware Analysis. CoRR abs/2310.10664 (2023) - 2022
- [j97]Luca Demetrio
, Battista Biggio, Fabio Roli:
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. IEEE Secur. Priv. 20(5): 77-85 (2022) - [j96]Andrea Panzino, Giulia Orrù
, Gian Luca Marcialis, Fabio Roli:
EEG personal recognition based on 'qualified majority' over signal patches. IET Biom. 11(1): 63-78 (2022) - [j95]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): 217-232 (2022) - [j94]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): 9944-9959 (2022) - [j93]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): 1161-1165 (2022) - [c181]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: 164-175 - [c180]Emanuele Ledda
, Lorenzo Putzu
, Rita Delussu
, Giorgio Fumera
, Fabio Roli
:
On the Evaluation of Video-Based Crowd Counting Models. ICIAP (3) 2022: 301-311 - [c179]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 - [i52]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 abs/2203.04412 (2022) - [i51]Antonio Emanuele Cinà
, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Energy-Latency Attacks via Sponge Poisoning. CoRR abs/2203.08147 (2022) - [i50]Antonio Emanuele Cinà
, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Machine Learning Security against Data Poisoning: Are We There Yet? CoRR abs/2204.05986 (2022) - [i49]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 abs/2205.01992 (2022) - [i48]Huang Xiao, Battista Biggio, Blaine Nelson, Han Xiao, Claudia Eckert, Fabio Roli:
Support Vector Machines under Adversarial Label Contamination. CoRR abs/2206.00352 (2022) - [i47]Luca Demetrio
, Battista Biggio, Fabio Roli:
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware. CoRR abs/2207.05548 (2022) - [i46]Yang Zheng, Xiaoyi Feng, Zhaoqiang Xia, Xiaoyue Jiang, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli:
Stateful Detection of Adversarial Reprogramming. CoRR abs/2211.02885 (2022) - [i45]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 abs/2212.06123 (2022) - 2021
- [j92]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): 6 (2021) - [j91]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: 3469-3478 (2021) - [j90]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: 5338-5351 (2021) - [j89]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): 27:1-27:31 (2021) - [j88]Lu Zhang
, Sangarapillai Lambotharan
, Gan Zheng
, Basil AsSadhan
, Fabio Roli
:
Countermeasures Against Adversarial Examples in Radio Signal Classification. IEEE Wirel. Commun. Lett. 10(8): 1830-1834 (2021) - [c178]Maura Pintor
, Luca Demetrio
, Giovanni Manca, Battista Biggio, Fabio Roli:
Slope: A First-order Approach for Measuring Gradient Obfuscation. ESANN 2021 - [c177]Lu Zhang, Sangarapillai Lambotharan, Gan Zheng, Fabio Roli:
A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification. GLOBECOM 2021: 1-5 - [c176]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: 1-8 - [c175]Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio:
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. NeurIPS 2021: 20052-20062 - [i44]Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio:
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints. CoRR abs/2102.12827 (2021) - [i43]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 abs/2103.12399 (2021) - [i42]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 abs/2105.00495 (2021) - [i41]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 abs/2106.07214 (2021) - [i40]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 abs/2106.09947 (2021) - [i39]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 abs/2108.11673 (2021) - [i38]Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli:
Can machines learn to see without visual databases? CoRR abs/2110.05973 (2021) - [i37]Marco Micheletto, Gian Luca Marcialis, Giulia Orrù, Fabio Roli:
Fingerprint recognition with embedded presentation attacks detection: are we ready? CoRR abs/2110.10567 (2021) - 2020
- [j87]Davide Maiorca
, Ambra Demontis
, Battista Biggio
, Fabio Roli
, Giorgio Giacinto:
Adversarial Detection of Flash Malware: Limitations and Open Issues. Comput. Secur. 96: 101901 (2020) - [j86]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: 5 (2020) - [j85]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): 100-108 (2020) - [j84]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): 3562-3571 (2020) - [j83]Lei Li
, Zhaoqiang Xia, Xiaoyue Jiang, Fabio Roli
, Xiaoyi Feng:
CompactNet: learning a compact space for face presentation attack detection. Neurocomputing 409: 191-207 (2020) - [j82]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: 107121 (2020) - [c174]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: 3412-3418 - [c173]Rita Delussu, Lorenzo Putzu
, Giorgio Fumera, Fabio Roli
:
Online Domain Adaptation for Person Re-Identification with a Human in the Loop. ICPR 2020: 3829-3836 - [c172]Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli:
Detecting Anomalies from Video-Sequences: a Novel Descriptor. ICPR 2020: 4642-4649 - [i36]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Efficient Black-box Optimization of Adversarial Windows Malware with Constrained Manipulations. CoRR abs/2003.13526 (2020) - [i35]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 abs/2005.01452 (2020) - [i34]Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection against Evasion Attacks. CoRR abs/2005.12154 (2020) - [i33]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 abs/2006.03833 (2020) - [i32]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 abs/2007.03397 (2020) - [i31]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 abs/2008.07125 (2020) - [i30]Giulia Orrù, Davide Ghiani, Maura Pintor, Gian Luca Marcialis, Fabio Roli:
Detecting Anomalies from Video-Sequences: a Novel Descriptor. CoRR abs/2010.06407 (2020)
2010 – 2019
- 2019
- [j81]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: 113-132 (2019) - [j80]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): 711-724 (2019) - [c171]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. ITASEC 2019 - [c170]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: 38:1-38:12 - [c169]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: 321-338 - [p8]David Yambay, Luca Ghiani, Gian Luca Marcialis, Fabio Roli, Stephanie Schuckers:
Review of Fingerprint Presentation Attack Detection Competitions. Handbook of Biometric Anti-Spoofing, 2nd Ed. 2019: 109-131 - [i29]Luca Demetrio, Battista Biggio, Giovanni Lagorio, Fabio Roli, Alessandro Armando:
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries. CoRR abs/1901.03583 (2019) - [i28]Lei Li, Zhaoqiang Xia, Xiaoyue Jiang, Yupeng Ma, Fabio Roli, Xiaoyi Feng:
3D Face Mask Presentation Attack Detection Based on Intrinsic Image Analysis. CoRR abs/1903.11303 (2019) - [i27]Paul Temple, Mathieu Acher, Gilles Perrouin, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli:
Towards Quality Assurance of Software Product Lines with Adversarial Configurations. CoRR abs/1909.07283 (2019) - [i26]Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli:
Deep Neural Rejection against Adversarial Examples. CoRR abs/1910.00470 (2019) - [i25]Giulia Orrù, Gian Luca Marcialis, Fabio Roli:
A novel classification-selection approach for the self updating of template-based face recognition systems. CoRR abs/1911.12688 (2019) - 2018
- [j79]