BIGGIO, BATTISTA
BIGGIO, BATTISTA
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
A survey and experimental evaluation of image spam filtering techniques
2011-01-01 Biggio, Battista; Fumera, Giorgio; Pillai, I; Roli, Fabio
Adversarial biometric recognition: a review on biometric system security from the adversarial machine-learning perspective
2015-01-01 Biggio, Battista; Fumera, Giorgio; Russu, Paolo; Didaci, Luca; Roli, Fabio
Adversarial Detection of Flash Malware: Limitations and Open Issues
2020-01-01 Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G.
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
2021-01-01 Demetrio, L.; Coull, S. E.; Biggio, B.; Lagorio, G.; Armando, A.; Roli, F.
Adversarial Feature Selection Against Evasion Attacks
2016-01-01 Zhang, F; Chan, Ppk; Biggio, Battista; Yeung, Ds; Roli, Fabio
Adversarial Machine Learning: Attacks From Laboratories to the Real World
2021-01-01 Lin, Hsiao-Ying; Biggio, Battista
Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
2018-01-01 Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert, Claudia; Roli, Fabio
Adversarial Pattern Classification
2010-01-01 Biggio, Battista
Adversarial Pattern Classification Using Multiple Classifiers and Randomisation
2008-01-01 Biggio, Battista; Fumera, Giorgio; Roli, Fabio
ALOHA: An architectural-aware framework for deep learning at the edge
2018-01-01 Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, Maura; Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F.
Anti-spoofing: Multimodal
2015-01-01 Marcialis, GIAN LUCA; Biggio, Battista; Fumera, Giorgio
Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project
2018-01-01 Meloni, P.; Loi, D.; Deriu, G.; Pimentel, A. D.; Saprat, D.; Pintor, M.; Biggio, B.; Ripolles, O.; Solans, D.; Conti, F.; Benini, L.; Stefanov, T.; Minakova, S.; Moser, B.; Shepeleva, N.; Masin, M.; Palumbo, F.; Fragoulis, N.; Theodorakopoulos, I.
Backdoor smoothing: Demystifying backdoor attacks on deep neural networks
2022-01-01 Grosse, K; Lee, Ts; Biggio, B; Park, Y; Backes, M; Molloy, I
Bagging classifiers for fighting poisoning attacks in adversarial classification tasks
2011-01-01 Biggio, Battista; Corona, Igino; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio
Bayesian Analysis of Linear Combiners
2007-01-01 Biggio, Battista; Fumera, Giorgio; Roli, Fabio
Bayesian Linear Combination of Neural Networks
2009-01-01 Biggio, Battista; Fumera, Giorgio; Roli, Fabio
Chairs' introduction and welcome to AISec 2017
2017-01-01 Biggio, B.; Freeman, D. M.; Miller, B.; Sinha, A.
Chairs' introduction and welcome to AISEC 2019
2019-01-01 Afroz, S.; Biggio, B.; Carlini, N.; Elovici, Y.; Shabtai, A.
Chairs’ introduction and welcome to AISec 2018
2018-01-01 Afroz, S.; Biggio, B.; Elovici, Y.; Freeman, D.; Shabtai, A.
Complex Data: Learning Trustworthily, Automatically, and with Guarantees
2021-01-01 Oneto, L.; Navarin, N.; Biggio, B.; Errica, F.; Micheli, A.; Scarselli, F.; Bianchini, M.; Sperduti, A.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| A survey and experimental evaluation of image spam filtering techniques | 1-gen-2011 | Biggio, Battista; Fumera, Giorgio; Pillai, I; Roli, Fabio | PATTERN RECOGNITION LETTERS | - |
| Adversarial biometric recognition: a review on biometric system security from the adversarial machine-learning perspective | 1-gen-2015 | Biggio, Battista; Fumera, Giorgio; Russu, Paolo; Didaci, Luca; Roli, Fabio | IEEE SIGNAL PROCESSING MAGAZINE | - |
| Adversarial Detection of Flash Malware: Limitations and Open Issues | 1-gen-2020 | Maiorca, D.; Demontis, A.; Biggio, B.; Roli, F.; Giacinto, G. | COMPUTERS & SECURITY | - |
| Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection | 1-gen-2021 | Demetrio, L.; Coull, S. E.; Biggio, B.; Lagorio, G.; Armando, A.; Roli, F. | ACM TRANSACTIONS ON PRIVACY AND SECURITY | - |
| Adversarial Feature Selection Against Evasion Attacks | 1-gen-2016 | Zhang, F; Chan, Ppk; Biggio, Battista; Yeung, Ds; Roli, Fabio | IEEE TRANSACTIONS ON CYBERNETICS | - |
| Adversarial Machine Learning: Attacks From Laboratories to the Real World | 1-gen-2021 | Lin, Hsiao-Ying; Biggio, Battista | COMPUTER | - |
| Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables | 1-gen-2018 | Kolosnjaji, Bojan; Demontis, Ambra; Biggio, Battista; Maiorca, Davide; Giacinto, Giorgio; Eckert, Claudia; Roli, Fabio | - | IEEE (Institute of Electrical and Electronics Engineers) |
| Adversarial Pattern Classification | 1-gen-2010 | Biggio, Battista | - | - |
| Adversarial Pattern Classification Using Multiple Classifiers and Randomisation | 1-gen-2008 | Biggio, Battista; Fumera, Giorgio; Roli, Fabio | LECTURE NOTES IN COMPUTER SCIENCE | Springer-Verlag |
| ALOHA: An architectural-aware framework for deep learning at the edge | 1-gen-2018 | Meloni, P.; Loi, D.; Deriu, G.; Ripolles, O.; Solans, D.; Pimentel, A. D.; Sapra, D.; Pintor, Maura; Biggio, B.; Moser, B.; Shepeleva, N.; Stefanov, T.; Minakova, S.; Conti, F.; Benini, L.; Fragoulis, N.; Theodorakopoulos, I.; Masin, M.; Palumbo, F. | - | Association for Computing Machinery |
| Anti-spoofing: Multimodal | 1-gen-2015 | Marcialis, GIAN LUCA; Biggio, Battista; Fumera, Giorgio | - | Springer US |
| Architecture-aware design and implementation of CNN algorithms for embedded inference: The ALOHA project | 1-gen-2018 | Meloni, P.; Loi, D.; Deriu, G.; Pimentel, A. D.; Saprat, D.; Pintor, M.; Biggio, B.; Ripolles, O.; Solans, D.; Conti, F.; Benini, L.; Stefanov, T.; Minakova, S.; Moser, B.; Shepeleva, N.; Masin, M.; Palumbo, F.; Fragoulis, N.; Theodorakopoulos, I. | - | Institute of Electrical and Electronics Engineers Inc. |
| Backdoor smoothing: Demystifying backdoor attacks on deep neural networks | 1-gen-2022 | Grosse, K; Lee, Ts; Biggio, B; Park, Y; Backes, M; Molloy, I | COMPUTERS & SECURITY | - |
| Bagging classifiers for fighting poisoning attacks in adversarial classification tasks | 1-gen-2011 | Biggio, Battista; Corona, Igino; Fumera, Giorgio; Giacinto, Giorgio; Roli, Fabio | LECTURE NOTES IN COMPUTER SCIENCE | Springer Verlag |
| Bayesian Analysis of Linear Combiners | 1-gen-2007 | Biggio, Battista; Fumera, Giorgio; Roli, Fabio | LECTURE NOTES IN COMPUTER SCIENCE | Springer-Verlag |
| Bayesian Linear Combination of Neural Networks | 1-gen-2009 | Biggio, Battista; Fumera, Giorgio; Roli, Fabio | STUDIES IN COMPUTATIONAL INTELLIGENCE | Springer-Verlag Berlin Heidelberg |
| Chairs' introduction and welcome to AISec 2017 | 1-gen-2017 | Biggio, B.; Freeman, D. M.; Miller, B.; Sinha, A. | - | - |
| Chairs' introduction and welcome to AISEC 2019 | 1-gen-2019 | Afroz, S.; Biggio, B.; Carlini, N.; Elovici, Y.; Shabtai, A. | - | - |
| Chairs’ introduction and welcome to AISec 2018 | 1-gen-2018 | Afroz, S.; Biggio, B.; Elovici, Y.; Freeman, D.; Shabtai, A. | - | - |
| Complex Data: Learning Trustworthily, Automatically, and with Guarantees | 1-gen-2021 | Oneto, L.; Navarin, N.; Biggio, B.; Errica, F.; Micheli, A.; Scarselli, F.; Bianchini, M.; Sperduti, A. | - | - |