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ORCIDFabio Roli
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- affiliation: University of Cagliari, Italy
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2020 – today
- 2024
[j105]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)- 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) - [c187]Emanuele Ledda, Rita Delussu, Lorenzo Putzu, Giorgio Fumera, Fabio Roli:
BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting. ICIAP (2) 2023: 307-319 - [c186]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 - [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]Giorgio Fumera, Fabio Roli:
Multi-stage ranking approach for fast person re-identification. IET Comput. Vis. 12(4): 513-519 (2018) - [j78]Battista Biggio, Fabio Roli:
Wild patterns: Ten years after the rise of adversarial machine learning. Pattern Recognit. 84: 317-331 (2018) - [c168]Battista Biggio, Fabio Roli:
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning. CCS 2018: 2154-2156 - [c167]Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Explaining Black-box Android Malware Detection. EUSIPCO 2018: 524-528 - [c166]Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli:
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables. EUSIPCO 2018: 533-537 - [c165]Giulia Orrù, Gian Luca Marcialis, Fabio Roli:
An experimental investigation on self adaptive facial recognition algorithms using a long time span data set. IPTA 2018: 1-6 - [i24]Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Explaining Black-box Android Malware Detection. CoRR abs/1803.03544 (2018) - [i23]Bojan Kolosnjaji, Ambra Demontis, Battista Biggio, Davide Maiorca, Giorgio Giacinto, Claudia Eckert, Fabio Roli:
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables. CoRR abs/1803.04173 (2018) - [i22]Huang Xiao, Battista Biggio, Gavin Brown, Giorgio Fumera, Claudia Eckert, Fabio Roli:
Is feature selection secure against training data poisoning? CoRR abs/1804.07933 (2018) - [i21]Paul Temple, Mathieu Acher, Battista Biggio, Jean-Marc Jézéquel, Fabio Roli:
Towards Adversarial Configurations for Software Product Lines. CoRR abs/1805.12021 (2018) - [i20]Ambra Demontis, Marco Melis, Maura Pintor, Matthew Jagielski, Battista Biggio, Alina Oprea, Cristina Nita-Rotaru, Fabio Roli:
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. CoRR abs/1809.02861 (2018) - [i19]Lei Li, Zhaoqiang Xia, Abdenour Hadid, Xiaoyue Jiang, Fabio Roli, Xiaoyi Feng:
Face Presentation Attack Detection in Learned Color-liked Space. CoRR abs/1810.13170 (2018) - [i18]Battista Biggio, Ignazio Pillai, Samuel Rota Bulò, Davide Ariu, Marcello Pelillo, Fabio Roli:
Is Data Clustering in Adversarial Settings Secure? CoRR abs/1811.09982 (2018) - [i17]Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli:
Poisoning Behavioral Malware Clustering. CoRR abs/1811.09985 (2018) - 2017
- [j77]Luca Ghiani, Abdenour Hadid, Gian Luca Marcialis, Fabio Roli:
Fingerprint liveness detection using local texture features. IET Biom. 6(3): 224-231 (2017) - [j76]Luca Ghiani, David A. Yambay, Valerio Mura, Gian Luca Marcialis, Fabio Roli, Stephanie Schuckers:
Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015. Image Vis. Comput. 58: 110-128 (2017) - [j75]Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu:
Learning extremely shared middle-level image representation for scene classification. Knowl. Inf. Syst. 52(2): 509-530 (2017) - [j74]Battista Biggio, Giorgio Fumera, Gian Luca Marcialis, Fabio Roli:
Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 561-575 (2017) - [j73]Ignazio Pillai, Giorgio Fumera, Fabio Roli:
Designing multi-label classifiers that maximize F measures: State of the art. Pattern Recognit. 61: 394-404 (2017) - [j72]Enrica Santucci, Luca Didaci, Giorgio Fumera, Fabio Roli:
A parameter randomization approach for constructing classifier ensembles. Pattern Recognit. 69: 1-13 (2017) - [j71]Jianxin Wu, Xiang Bai, Marco Loog, Fabio Roli, Zhi-Hua Zhou:
Editorial of the Special Issue on Multi-instance Learning in Pattern Recognition and Vision. Pattern Recognit. 71: 444-445 (2017) - [j70]Samuel Rota Bulò, Battista Biggio, Ignazio Pillai, Marcello Pelillo, Fabio Roli:
Randomized Prediction Games for Adversarial Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2466-2478 (2017) - [c164]Paolo Piredda, Davide Ariu, Battista Biggio, Igino Corona, Luca Piras, Giorgio Giacinto, Fabio Roli:
Deepsquatting: Learning-Based Typosquatting Detection at Deeper Domain Levels. AI*IA 2017: 347-358 - [c163]Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli:
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. AISec@CCS 2017: 27-38 - [c162]Igino Corona, Battista Biggio, Matteo Contini, Luca Piras, Roberto Corda, Mauro Mereu, Guido Mureddu, Davide Ariu, Fabio Roli:
DeltaPhish: Detecting Phishing Webpages in Compromised Websites. ESORICS (1) 2017: 370-388 - [c161]Luca Ghiani, Gian Luca Marcialis, Fabio Roli:
Fingerprint presentation attacks detection based on the user-specific effect. IJCB 2017: 352-358 - [c160]Marco Melis, Ambra Demontis, Battista Biggio, Gavin Brown, Giorgio Fumera, Fabio Roli:
Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid. ICCV Workshops 2017: 751-759 - [c159]Alessandro Carcangiu, Lucio Davide Spano, Giorgio Fumera, Fabio Roli:
Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms. ICIAP (1) 2017: 84-95 - [c158]