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ORCIDBattista Biggio
- > Home > Persons > Battista Biggio
Publications
- 2024
[i66]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)- 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) - [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) - [i16]Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli:
Poisoning Behavioral Malware Clustering. CoRR abs/1811.09985 (2018) - 2017
- [c41]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 - [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 - [c35]Ambra Demontis, Battista Biggio, Giorgio Fumera, Giorgio Giacinto, Fabio Roli:
Infinity-Norm Support Vector Machines Against Adversarial Label Contamination. ITASEC 2017: 106-115 - [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) - [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
- [c33]Mansour Ahmadi, Battista Biggio, Steven Arzt, Davide Ariu, Giorgio Giacinto:
Detecting Misuse of Google Cloud Messaging in Android Badware. SPSM@CCS 2016: 103-112 - [c31]David Freeman, Sakshi Jain, Markus Dürmuth, Battista Biggio, Giorgio Giacinto:
Who Are You? A Statistical Approach to Measuring User Authenticity. NDSS 2016 - 2015
- [c28]Marco Melis, Luca Piras, Battista Biggio, Giorgio Giacinto, Giorgio Fumera, Fabio Roli:
Fast Image Classification with Reduced Multiclass Support Vector Machines. ICIAP (2) 2015: 78-88 - [c25]Battista Biggio, Igino Corona, Zhi-Min He, Patrick P. K. Chan, Giorgio Giacinto, Daniel S. Yeung, Fabio Roli:
One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time. MCS 2015: 168-180 - 2014
- [c23]Battista Biggio, Konrad Rieck, Davide Ariu, Christian Wressnegger, Igino Corona, Giorgio Giacinto, Fabio Roli:
Poisoning behavioral malware clustering. AISec@CCS 2014: 27-36 - [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 - 2011
- [c11]Battista Biggio, Igino Corona, Giorgio Fumera, Giorgio Giacinto, Fabio Roli:
Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks. MCS 2011: 350-359
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last updated on 2024-09-07 01:02 CEST by the dblp team
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