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ORCIDBattista Biggio
- > Home > Persons > Battista Biggio
Publications
- 2023
[c72]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- 2022
- [j25]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) - 2020
- [j18]Davide Maiorca, Ambra Demontis, Battista Biggio, Fabio Roli, Giorgio Giacinto:
Adversarial Detection of Flash Malware: Limitations and Open Issues. Comput. Secur. 96: 101901 (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) - 2019
- [j16]Davide Maiorca, Battista Biggio, Giorgio Giacinto:
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks. ACM Comput. Surv. 52(4): 78:1-78:36 (2019) - [j15]Davide Maiorca, Battista Biggio:
Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware. IEEE Secur. Priv. 17(1): 63-71 (2019) - [j14]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) - 2018
- [c45]Marco Melis, Davide Maiorca, Battista Biggio, Giorgio Giacinto, Fabio Roli:
Explaining Black-box Android Malware Detection. EUSIPCO 2018: 524-528 - [c44]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 - [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) - [i18]Davide Maiorca, Battista Biggio, Giorgio Giacinto:
Towards Robust Detection of Adversarial Infection Vectors: Lessons Learned in PDF Malware. CoRR abs/1811.00830 (2018) - 2017
- [c36]Davide Maiorca, Paolo Russu, Igino Corona, Battista Biggio, Giorgio Giacinto:
Detection of Malicious Scripting Code Through Discriminant and Adversary-Aware API Analysis. ITASEC 2017: 96-105 - [i15]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. CoRR abs/1704.08996 (2017) - [i13]Davide Maiorca, Battista Biggio:
Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware. CoRR abs/1707.05102 (2017) - [i12]Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli:
Evasion Attacks against Machine Learning at Test Time. CoRR abs/1708.06131 (2017) - [i7]Davide Maiorca, Battista Biggio, Maria Elena Chiappe, Giorgio Giacinto:
Adversarial Detection of Flash Malware: Limitations and Open Issues. CoRR abs/1710.10225 (2017) - 2016
- [i2]Igino Corona, Battista Biggio, Davide Maiorca:
AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack. CoRR abs/1611.04786 (2016) - 2014
- [i1]Battista Biggio, Igino Corona, Blaine Nelson, Benjamin I. P. Rubinstein, Davide Maiorca, Giorgio Fumera, Giorgio Giacinto, Fabio Roli:
Security Evaluation of Support Vector Machines in Adversarial Environments. CoRR abs/1401.7727 (2014) - 2013
- [c18]Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Srndic, Pavel Laskov, Giorgio Giacinto, Fabio Roli:
Evasion Attacks against Machine Learning at Test Time. ECML/PKDD (3) 2013: 387-402
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