Export 71 results:
Filters: Author is Battista Biggio  [Clear All Filters]
B. Biggio, «Adversarial Pattern Classification», University of Cagliari, Cagliari (Italy), 2010. (2.65 MB)
Magazine Article
B. Biggio, Fumera, G., Pillai, I., Roli, F., e Satta, R., «Evading SpamAssassin with obfuscated text images», Virus Bulletin, n° 11-2007, 2007. (689 KB)
Journal Article
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., e Roli, F., «Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection», IEEE Trans. Dependable and Secure Computing, In Press. (3.61 MB)
B. Biggio e Roli, F., «Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning», Pattern Recognition, vol 84, pagg 317-331, 2018. (3.76 MB)
B. Biggio, Fumera, G., Pillai, I., e Roli, F., «A survey and experimental evaluation of image spam filtering techniques», Pattern Recognition Letters, vol 32, pagg 1436 - 1446, 2011. (2.12 MB)
H. Xiao, Biggio, B., Nelson, B., Xiao, H., Eckert, C., e Roli, F., «Support Vector Machines under Adversarial Label Contamination», Neurocomputing, Special Issue on Advances in Learning with Label Noise, vol 160, pagg 53-62, 2015. (2.8 MB)
A. Demontis, Melis, M., Biggio, B., Fumera, G., e Roli, F., «Super-sparse Learning in Similarity Spaces», IEEE Computational Intelligence Magazine, vol 11, n° 4, pagg 36-45, 2016. (555.22 KB)
B. Biggio, Fumera, G., Marcialis, G. L., e Roli, F., «Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems», IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 39, n° 3, pagg 561-575, 2017. (5.7 MB)
B. Biggio, Fumera, G., e Roli, F., «Security evaluation of pattern classifiers under attack», IEEE Transactions on Knowledge and Data Engineering, vol 26, n° 4, pagg 984-996, 2014. (1.35 MB)
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., e Roli, F., «Security evaluation of biometric authentication systems under real spoofing attacks», IET Biometrics, vol 1, n° 1, pagg 11-24, 2012. (3.21 MB)
S. Rota Bulò, Biggio, B., Pillai, I., Pelillo, M., e Roli, F., «Randomized Prediction Games for Adversarial Machine Learning», IEEE Transactions on Neural Networks and Learning Systems, vol 28, n° 11, pagg 2466-2478, 2017. (1.52 MB) (256.21 KB)
B. Biggio, Fumera, G., e Roli, F., «Pattern Recognition Systems under Attack: Design Issues and Research Challenges», Int'l J. Patt. Recogn. Artif. Intell., vol 28, n° 7, pag 1460002, 2014. (1.41 MB)
B. Biggio, Fumera, G., e Roli, F., «Multiple Classifier Systems for Robust Classifier Design in Adversarial Environments», Journal of Machine Learning and Cybernetics, vol 1, pagg 27–41, 2010. (844.91 KB)
D. Maiorca e Biggio, B., «Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware», IEEE Security and Privacy: Special Issue on Digital Forensics, vol 17, n° 1, pagg 63-71, 2019. (838.95 KB)
G. Ennas, Biggio, B., e Di Guardo, M. Chiara, «Data-driven Journal Meta-ranking in Business and Management», Scientometrics, pagg 1-19, 2015. (896.37 KB)
F. Zhang, Chan, P. P. K., Biggio, B., Yeung, D. S., e Roli, F., «Adversarial Feature Selection Against Evasion Attacks», IEEE Transactions on Cybernetics, vol 46, n° 3, pagg 766-777, 2016. (2.12 MB)
B. Biggio, Fumera, G., Russu, P., Didaci, L., e Roli, F., «Adversarial Biometric Recognition: A Review on Biometric System Security from the Adversarial Machine Learning Perspective», IEEE Signal Processing Magazine, vol 32, n° 5, pagg 31-41, 2015. (751.08 KB)
Conference Proceedings
A. Demontis, Biggio, B., Fumera, G., Giacinto, G., e Roli, F., «Infinity-norm Support Vector Machines against Adversarial Label Contamination», 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pagg 106-115, 2017.
I. Corona, Biggio, B., Contini, M., Piras, L., Corda, R., Mereu, M., Mureddu, G., Ariu, D., e Roli, F., «DeltaPhish: Detecting Phishing Webpages in Compromised Websites», 22nd European Symposium on Research in Computer Security (ESORICS), vol 10492. Springer International Publishing, Norway, September 11-15, 2017, pagg 370–388, 2017. (4.13 MB)
Conference Paper
D. M. Freeman, Jain, S., Duermuth, M., Biggio, B., e Giacinto, G., «Who Are You? A Statistical Approach to Measuring User Authenticity», in Proc. 23rd Annual Network & Distributed System Security Symposium (NDSS), 2016. (764.14 KB)
B. Nelson, Biggio, B., e Laskov, P., «Understanding the Risk Factors of Learning in Adversarial Environments», in 4th ACM Workshop on Artificial Intelligence and Security (AISec 2011), Chicago, IL, USA, 2011, pagg 87–92. (132.42 KB)
L. Muñoz-González, Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., e Roli, F., «Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization», in 10th ACM Workshop on Artificial Intelligence and Security, 2017, pagg 27-38.
B. Biggio, Nelson, B., e Laskov, P., «Support Vector Machines Under Adversarial Label Noise», in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol 20, pagg 97-112. (533.74 KB)
A. Demontis, Biggio, B., Fumera, G., e Roli, F., «Super-Sparse Regression for Fast Age Estimation From Faces at Test Time», in 18th Int'l Conf. on Image Analysis and Processing (ICIAP), Genova, Italy, 2015, vol Image Analysis and Processing (ICIAP 2015), pagg 551-562. (678.7 KB)