Battista Biggio

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Fabio RoliProfessor, University of Genova, ItalyEmail verificata su unige.it
Ambra DemontisAssistant Professor at University of CagliariEmail verificata su unica.it
Giorgio FumeraAssociate Professor of Computer Engineering, University of CagliariEmail verificata su unica.it
Giorgio GiacintoProfessor, University of CagliariEmail verificata su unica.it
Maura PintorUniversity of CagliariEmail verificata su unica.it
Luca DemetrioAssistant Professor at Università degli Studi di GenovaEmail verificata su unige.it
Davide MaiorcaAssistant Professor of Computer Engineering at University of Cagliari, ItalyEmail verificata su unica.it
Igino CoronaComputer Security Researcher & Co-founder, Pluribus OneEmail verificata su pluribus-one.it
Marco MelisIndividualEmail verificata su unica.it
Pavel LaskovUniversity of LiechtensteinEmail verificata su uni.li
Ignazio PillaiDIEE - University of CagliariEmail verificata su diee.unica.it
Marcello PelilloProfessor of Computer Science, FIEEE, FIAPR, FAAIA, Ca' Foscari University of VeniceEmail verificata su dsi.unive.it
Angelo SotgiuAssistant Professor, University of CagliariEmail verificata su unica.it
Alina OpreaNortheastern UniversityEmail verificata su neu.edu
Antonio Emanuele CinàAssistant Professor @ University of GenoaEmail verificata su unige.it
Kathrin GrosseIBM ResearchEmail verificata su ibm.com
Davide AriuCEO & Co-Founder of Pluribus One, Research Assistant @ University of CagliariEmail verificata su diee.unica.it
Gian Luca MarcialisAssociate Professor @ University of Cagliari, ItalyEmail verificata su diee.unica.it
Cristina Nita-RotaruProfessor, Khoury College of Computer Science, Northeastern UniversityEmail verificata su northeastern.edu
Matthew JagielskiGoogle DeepMindEmail verificata su google.com

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Battista Biggio

Full Professor, University of Cagliari, Italy

Email verificata su unica.it - Home page

Adversarial Machine Learning AI Security Machine Learning Computer Security


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2535*	2013
Poisoning Attacks against Support Vector Machines B Biggio, B Nelson, P Laskov Int'l Conference on Machine Learning (ICML) - ICML 2022 Test of Time Award, 2012	1906	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	1726	2018
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	979	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	722	2017
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	574	2014
Support Vector Machines Under Adversarial Label Noise B Biggio, B Nelson, P Laskov Journal of Machine Learning Research-Proceedings Track 20, 97-112, 2011	527	2011
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	525	2015
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	471	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	433	2018
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	356	2019
Support Vector Machines under Adversarial Label Contamination H Xiao, B Biggio, B Nelson, H Xiao, C Eckert, F Roli Neurocomputing, 2014	291	2014
Adversarial Feature Selection against Evasion Attacks F Zhang, PPK Chan, B Biggio, DS Yeung, F Roli IEEE Transactions on Cybernetics, 2015	268	2015
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	243	2010
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	180	2012
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	171	2014
Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries L Demetrio, B Biggio, G Lagorio, F Roli, A Armando ITASEC 2019, 2019	169	2019
Functionality-preserving Black-box Optimization of Adversarial Windows Malware L Demetrio, B Biggio, G Lagorio, F Roli, A Armando IEEE Transactions on Information Forensics and Security 16, 3469-3478, 2021	159	2021
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	158	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	153	2016

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