| 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 | 2542* | 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 | 1917 | 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 | 1730 | 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 | 985 | 2018 |
| Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization L Muńoz-Gonzįlez, B Biggio, A Demontis, A Paudice, V Wongrassamee, ... 10th ACM Workshop on Artificial Intelligence & Security (AISec'17), 2017 | 725 | 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 | 575 | 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 | 529 | 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 | 474 | 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 | 358 | 2019 |
| Support Vector Machines under Adversarial Label Contamination H Xiao, B Biggio, B Nelson, H Xiao, C Eckert, F Roli Neurocomputing, 2014 | 292 | 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 | 170 | 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 | 161 | 2021 |
| Is Data Clustering in Adversarial Settings Secure? B Biggio, I Pillai, S Rota Bulņ, D Ariu, M Pelillo, F Roli Proceedings of the 2013 ACM workshop on Artificial intelligence and security …, 2013 | 157 | 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 | 155 | 2016 |
Fabio RoliProfessor, University of Genova and Cagliari, ItalyVerified email at unige.it
