Battista Biggio

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Fabio RoliProfessor, University of Cagliari, ItalyVerified email at diee.unica.it
Giorgio FumeraAssociate Professor of Computer Engineering, University of CagliariVerified email at diee.unica.it
Giorgio GiacintoProfessor, University of CagliariVerified email at unica.it
Ambra DemontisAssistant Professor at University of CagliariVerified email at unica.it
Davide MaiorcaAssistant Professor of Computer Engineering at University of Cagliari, ItalyVerified email at unica.it
Igino CoronaResearch Fellow, PRALab, University of Cagliari, Italy and Co-founder of Pluribus OneVerified email at diee.unica.it
Ignazio PillaiDIEE - University of CagliariVerified email at diee.unica.it
Pavel LaskovUniversity of LiechtensteinVerified email at uni.li
Marco MelisResearch Fellow, University of Cagliari, ItalyVerified email at unica.it
Gian Luca MarcialisAssociate Professor @ University of Cagliari, ItalyVerified email at diee.unica.it
Maura PintorPhD StudentVerified email at unica.it
Davide AriuCEO & Co-Founder of Pluribus One, Research Assistant @ University of CagliariVerified email at diee.unica.it
Alina OpreaNortheastern UniversityVerified email at neu.edu
Cristina Nita-RotaruProfessor, Computer Science, Northeastern UniversityVerified email at neu.edu
Konrad RieckProfessor of Computer Science, TU BraunschweigVerified email at tu-bs.de
Matthew JagielskiPhD Student Northeastern UniversityVerified email at husky.neu.edu
Marcello PelilloProfessor of Computer Science, FIEEE, FIAPR, Ca' Foscari University of VeniceVerified email at dsi.unive.it
Huang XiaoHSBCVerified email at hsbc.com
Samuel Rota BulòResearch Scientist, FacebookVerified email at fb.com
Nedim ŠrndićHuawei Munich Research CenterVerified email at huawei.com

Battista Biggio

Assistant Professor at University of Cagliari, Co-Founder of Pluribus One

Verified email at diee.unica.it - Homepage

Machine Learning Adversarial Machine Learning Computer Security Biometrics


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Evasion attacks against machine learning at test time B Biggio, I Corona, D Maiorca, B Nelson, N Šrndić, P Laskov, G Giacinto, ... 6th European Machine Learning and Data Mining Conference (ECML/PKDD), 2013	1083*	2013
Poisoning attacks against support vector machines B Biggio, B Nelson, P Laskov Int'l Conference on Machine Learning (ICML), 2012	789	2012
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning B Biggio, F Roli Pattern Recognition (2021 Best Paper Award and Pattern Recognition Medal), 2018	556	2018
Security evaluation of pattern classifiers under attack B Biggio, G Fumera, F Roli IEEE Transactions on Knowledge and Data Engineering 26 (4), 984-996, 2014	394	2014
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning M Jagielski, A Oprea, B Biggio, C Liu, C Nita-Rotaru, B Li 39th IEEE Symposium on Security and Privacy, 2018	275	2018
Is Feature Selection Secure against Training Data Poisoning? H Xiao, B Biggio, G Brown, G Fumera, C Eckert, F Roli Int'l Conference on Machine Learning (ICML), 2015	262	2015
Support Vector Machines Under Adversarial Label Noise B Biggio, B Nelson, P Laskov Journal of Machine Learning Research-Proceedings Track 20, 97-112, 2011	261	2011
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization L Muñoz-González, B Biggio, A Demontis, A Paudice, V Wongrassamee, ... 10th ACM Workshop on Artificial Intelligence & Security (AISec'17), 2017	231	2017
Multiple classifier systems for robust classifier design in adversarial environments B Biggio, G Fumera, F Roli International Journal of Machine Learning and Cybernetics 1 (1-4), 27-41, 2010	193	2010
Adversarial feature selection against evasion attacks F Zhang, PPK Chan, B Biggio, DS Yeung, F Roli IEEE Transactions on Cybernetics, 2015	176	2015
Support Vector Machines under Adversarial Label Contamination H Xiao, B Biggio, B Nelson, H Xiao, C Eckert, F Roli Neurocomputing, 2014	145	2014
Security Evaluation of Biometric Authentication Systems under Real Spoofing Attacks B Biggio, Z Akhtar, G Fumera, GL Marcialis, F Roli IET biometrics (2014 Premium Award for Best Paper in IET Biometrics), 2012	144	2012
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection A Demontis, M Melis, B Biggio, D Maiorca, D Arp, K Rieck, I Corona, ... IEEE Transactions on Dependable and Secure Computing 16 (4), 711-724, 2019	139	2019
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables B Kolosnjaji, A Demontis, B Biggio, D Maiorca, G Giacinto, C Eckert, ... European Signal Processing Conference (EUSIPCO), 2018	127	2018
Poisoning behavioral malware clustering B Biggio, K Rieck, D Ariu, C Wressnegger, I Corona, G Giacinto, F Roli Proceedings of the 2014 workshop on artificial intelligent and security …, 2014	109	2014
Is data clustering in adversarial settings secure? B Biggio, I Pillai, S Rota Bulò, D Ariu, M Pelillo, F Roli Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013	101	2013
A survey and experimental evaluation of image spam filtering techniques B Biggio, G Fumera, I Pillai, F Roli Pattern recognition letters 32 (10), 1436-1446, 2011	93	2011
Bagging classifiers for fighting poisoning attacks in adversarial classification tasks B Biggio, I Corona, G Fumera, G Giacinto, F Roli International workshop on multiple classifier systems, 350-359, 2011	91	2011
Security evaluation of support vector machines in adversarial environments B Biggio, I Corona, B Nelson, BIP Rubinstein, D Maiorca, G Fumera, ... Support Vector Machines Applications, 105-153, 2014	90	2014
Who are you? A statistical approach to measuring user authenticity DM Freeman, S Jain, M Dürmuth, B Biggio, G Giacinto Proc. 23rd Annual Network & Distributed System Security Symposium (NDSS), 2016	88	2016

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