| Title |
Issue Date |
Author(s) |
Journal |
Publisher |
| Empirical assessment of generating adversarial configurations for software product lines |
2021 |
Temple, P.; Perrouin, G.; Acher, M.; Biggio, B.; Jezequel, J. -M.; Roli, F. |
EMPIRICAL SOFTWARE ENGINEERING |
|
| EEG personal recognition based on ‘qualified majority’ over signal patches |
2021 |
Panzino, Andrea; Orru', Giulia; Marcialis, Gian Luca; Roli, Fabio |
IET BIOMETRICS |
|
| Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware |
2021 |
Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro |
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY |
|
| Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection |
2021 |
Demetrio, L.; Coull, S. E.; Biggio, B.; Lagorio, G.; Armando, A.; Roli, F. |
ACM TRANSACTIONS ON PRIVACY AND SECURITY |
|
| The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? |
2021 |
Cina, A. E.; Vascon, S.; Demontis, A.; Biggio, B.; Roli, F.; Pelillo, M. |
|
Institute of Electrical and Electronics Engineers Inc. |
| Fingerprint recognition with embedded presentation attacks detection: are we ready? |
2021 |
Micheletto, M.; Marcialis, G. L.; Orru', G.; Roli, F. |
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY |
|
| Detecting Anomalies from Video-Sequences: a Novel Descriptor |
2021 |
Orru', G.; Ghiani, D.; Pintor, M.; Marcialis, G. L.; Roli, F. |
|
Institute of Electrical and Electronics Engineers |
| Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? |
2021 |
Casula, R.; Orru', G.; Angioni, D.; Feng, X.; Marcialis, G. L.; Roli, F. |
|
Institute of Electrical and Electronics Engineers |
| Do gradient-based explanations tell anything about adversarial robustness to android malware? |
2021 |
Melis, M.; Scalas, M.; Demontis, A.; Maiorca, D.; Biggio, B.; Giacinto, G.; Roli, F. |
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS |
|
| Adversarial Detection of Flash Malware: Limitations and Open Issues |
2020 |
Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G. |
COMPUTERS & SECURITY |
|
| A novel classification-selection approach for the self updating of template-based face recognition systems |
2020 |
Orrù, Giulia; Marcialis, Gian Luca; Roli, Fabio |
PATTERN RECOGNITION |
|
| Deep neural rejection against adversarial examples |
2020 |
SOTGIU, ANGELO; DEMONTIS, AMBRA; MELIS, MARCO; BIGGIO, BATTISTA; FUMERA, GIORGIO; Feng, Xiaoyi; R...OLI, FABIO |
EURASIP JOURNAL ON MULTIMEDIA AND INFORMATION SECURITY |
|
| Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks |
2019 |
Demontis, Ambra; Melis, Marco; Pintor, Maura; Jagielski, Matthew; Biggio, Battista; Oprea, Alina;... Nita-Rotaru, Cristina; Roli, Fabio |
|
USENIX Association |
| An experimental investigation on self adaptive facial recognition algorithms using a long time span data set |
2019 |
Orru', Giulia; Marcialis, Gian Luca; Roli, Fabio |
|
IEEE (Institute of Electrical and Electronics Engineers) |
| Review of fingerprint presentation attack detection competitions |
2019 |
Yambay, David; Ghiani, Luca; Marcialis, Gian Luca; Roli, Fabio; Schuckers, Stephanie |
|
Springer London |
| Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection |
2019 |
Demontis, Ambra; Melis, Marco; Biggio, Battista; Maiorca, Davide; Arp, Daniel; Rieck, Konrad; Cor...ona, Igino; Giacinto, Giorgio; Roli, Fabio |
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING |
|
| DEICTIC: a compositional and declarative gesture description based on hidden markov models |
2019 |
Carcangiu, Alessandro; Spano, Lucio Davide; Fumera, Giorgio; Roli, Fabio |
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES |
|
| Towards quality assurance of software product lines with adversarial configurations |
2019 |
Temple, P.; Acher, M.; Perrouin, G.; Biggio, B.; Jezequel, J. -M.; Roli, F. |
|
Association for Computing Machinery |
| Explaining vulnerabilities of deep learning to adversarial malware binaries |
2019 |
Demetrio, Luca; Biggio, Battista; Lagorio, Giovanni; Roli, Fabio; Armando, Alessandro |
|
|
| Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid |
2018 |
Melis, Marco; Demontis, Ambra; Biggio, Battista; Brown, Gavin; Fumera, Giorgio; Roli, Fabio |
|
IEEE (Institute of Electrical and Electronics Engineers) |
University of Cagliari
