| Towards poisoning of deep learning algorithms with back-gradient optimization L Muñoz-González, B Biggio, A Demontis, A Paudice, V Wongrassamee, ... Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017 | 414 | 2017 |
| Adversarial malware binaries: Evading deep learning for malware detection in executables B Kolosnjaji, A Demontis, B Biggio, D Maiorca, G Giacinto, C Eckert, ... 2018 26th European signal processing conference (EUSIPCO), 533-537, 2018 | 247 | 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, 2017 | 230 | 2017 |
| Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks A Demontis, M Melis, M Pintor, M Jagielski, B Biggio, A Oprea, ... 28th USENIX security symposium (USENIX security 19), 321-338, 2019 | 205 | 2019 |
| Is deep learning safe for robot vision? adversarial examples against the icub humanoid M Melis, A Demontis, B Biggio, G Brown, G Fumera, F Roli Proceedings of the IEEE international conference on computer vision …, 2017 | 89 | 2017 |
| Secure kernel machines against evasion attacks P Russu, A Demontis, B Biggio, G Fumera, F Roli Proceedings of the 2016 ACM workshop on artificial intelligence and security …, 2016 | 67 | 2016 |
| On security and sparsity of linear classifiers for adversarial settings A Demontis, P Russu, B Biggio, G Fumera, F Roli Joint IAPR International Workshops on Statistical Techniques in Pattern …, 2016 | 37 | 2016 |
| Deep neural rejection against adversarial examples A Sotgiu, A Demontis, M Melis, B Biggio, G Fumera, X Feng, F Roli EURASIP Journal on Information Security 2020 (1), 1-10, 2020 | 29 | 2020 |
| secml: A python library for secure and explainable machine learning M Melis, A Demontis, M Pintor, A Sotgiu, B Biggio arXiv preprint arXiv:1912.10013, 2019 | 26 | 2019 |
| Adversarial detection of flash malware: Limitations and open issues D Maiorca, A Demontis, B Biggio, F Roli, G Giacinto Computers & Security 96, 101901, 2020 | 24 | 2020 |
| Do gradient-based explanations tell anything about adversarial robustness to android malware? M Melis, M Scalas, A Demontis, D Maiorca, B Biggio, G Giacinto, F Roli International Journal of Machine Learning and Cybernetics 13 (1), 217-232, 2022 | 14 | 2022 |
| Infinity-norm support vector machines against adversarial label contamination A Demontis, B Biggio, G Fumera, G Giacinto, F Roli 1st Italian Conference on Cybersecurity, ITASEC 2017 1816, 106-115, 2017 | 12 | 2017 |
| Can domain knowledge alleviate adversarial attacks in multi-label classifiers? S Melacci, G Ciravegna, A Sotgiu, A Demontis, B Biggio, M Gori, F Roli | 11* | 2020 |
| The threat of offensive ai to organizations Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei, L Yang, X Zhang, ... arXiv preprint arXiv:2106.15764, 2021 | 8 | 2021 |
| Super-sparse regression for fast age estimation from faces at test time A Demontis, B Biggio, G Fumera, F Roli International Conference on Image Analysis and Processing, 551-562, 2015 | 8 | 2015 |
| Indicators of attack failure: Debugging and improving optimization of adversarial examples M Pintor, L Demetrio, A Sotgiu, G Manca, A Demontis, N Carlini, B Biggio, ... arXiv preprint arXiv:2106.09947, 2021 | 5 | 2021 |
| Super-sparse learning in similarity spaces A Demontis, M Melis, B Biggio, G Fumera, F Roli IEEE Computational Intelligence Magazine 11 (4), 36-45, 2016 | 5 | 2016 |
| Backdoor learning curves: Explaining backdoor poisoning beyond influence functions AE Cinà, K Grosse, S Vascon, A Demontis, B Biggio, F Roli, M Pelillo arXiv preprint arXiv:2106.07214, 2021 | 4 | 2021 |
| Energy-latency attacks via sponge poisoning AE Cinà, A Demontis, B Biggio, F Roli, M Pelillo arXiv preprint arXiv:2203.08147, 2022 | 3 | 2022 |
| ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches M Pintor, D Angioni, A Sotgiu, L Demetrio, A Demontis, B Biggio, F Roli arXiv preprint arXiv:2203.04412, 2022 | 3 | 2022 |
Battista BiggioAssistant Professor at University of Cagliari, Co-Founder of Pluribus OneVerified email at unica.it
