Battista Biggio

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Fabio RoliProfessor, University of Genova, ItalyVerified email at 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 CoronaComputer Security Researcher & Co-founder, Pluribus OneVerified email at pluribus-one.it
Marco MelisIndividualVerified email at unica.it
Pavel LaskovUniversity of LiechtensteinVerified email at uni.li
Ignazio PillaiDIEE - University of CagliariVerified email at diee.unica.it
Maura PintorUniversity of CagliariVerified email at unica.it
Gian Luca MarcialisAssociate Professor @ University of Cagliari, ItalyVerified email at diee.unica.it
Luca DemetrioUniversità degli Studi di CagliariVerified 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, Khoury College of Computer Science, Northeastern UniversityVerified email at northeastern.edu
Matthew JagielskiGoogle ResearchVerified email at google.com
Marcello PelilloProfessor of Computer Science, FIEEE, FIAPR, FAAIA, Ca' Foscari University of VeniceVerified email at dsi.unive.it
Konrad RieckProfessor of Computer Science, TU BraunschweigVerified email at tu-bs.de
Alessandro ArmandoUniversity of GenovaVerified email at unige.it
Giovanni LagorioAssistant Professor of Computer Science, Università di GenovaVerified email at unige.it

Battista Biggio

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

Verified email at 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	1397*	2013
Poisoning Attacks against Support Vector Machines B Biggio, B Nelson, P Laskov Int'l Conference on Machine Learning (ICML), 2012	1007	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	820	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	447	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	404	2018
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	339	2017
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	328	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	321	2011
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	209	2018
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	206	2010
Adversarial Feature Selection against Evasion Attacks F Zhang, PPK Chan, B Biggio, DS Yeung, F Roli IEEE Transactions on Cybernetics, 2015	195	2015
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	181	2019
Support Vector Machines under Adversarial Label Contamination H Xiao, B Biggio, B Nelson, H Xiao, C Eckert, F Roli Neurocomputing, 2014	171	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	152	2012
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks A Demontis, M Melis, M Pintor, M Jagielski, B Biggio, A Oprea, ... USENIX Security 2019, 2019	151	2019
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	112	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	109	2013
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	104	2016
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	104	2014
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	98	2011

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