Battista Biggio, PhD
I currently hold a post-doc position at the University of Cagliari,
in the Pattern Recognition and Applications Group.


Department of Electrical and Electronic Engineering,
University of Cagliari, Piazza d'Armi, 09123 Cagliari (Italy).
Tel.: +39 070 675 5776, Fax: +39 070 675 5782
email:
battista.biggio(at)diee.unica.it

 

Research interests. My research interests currently include:

secure / robust machine learning and pattern recognition methods (also known as classification in adversarial environments);
multiple classifier systems;
and kernel methods

with applications in biometric recognition, spam filtering, and intrusion detection in computer networks.




Journal Articles
B. Biggio, G. Fumera, and F. Roli. Security evaluation of pattern classifiers under attack. IEEE Transactions on Knowledge and Data Engineering, In Press.

B. Biggio, Z. Akhtar, G. Fumera, G. L. Marcialis, and F. Roli. Security evaluation of biometric authentication systems under real spoofing attacks. IET Biometrics, 1(1):11-24, 2012.
B. Biggio, G. Fumera, I. Pillai, and F. Roli. A survey and experimental evaluation of image spam filtering techniques. Pattern Recognition Letters, 32(10):1436 - 1446, 2011.
B. Biggio, G. Fumera, and F. Roli. Multiple classifier systems for robust classifier design in adversarial environments. Int'l Journal of Machine Learning and Cybernetics, 1(1):27-41, 2010.

B. Biggio, G. Fumera, and F. Roli. Evade hard multiple classifier systems. In Supervised and Unsupervised Ensemble Methods and Their Applications, vol. 245, Studies in Computational Intelligence, pp. 15-38. Springer Berlin / Heidelberg, 2009.
B. Biggio, G. Fumera, and F. Roli. Bayesian linear combination of neural networks. In Innovations in Neural Information Paradigms and Applications, vol. 247, Studies in Computational Intelligence, pp. 201-230. Springer Berlin / Heidelberg, 2008.
B. Biggio, L. Didaci, G. Fumera, and F. Roli. Poisoning attacks to compromise face templates. In 6th IAPR Int'l Conf. on Biometrics (ICB 2013), Madrid, Spain (In Press)
B. Biggio, G. Fumera, F. Roli, and L. Didaci. Poisoning adaptive biometric systems. In G. Gimel'farb, E. Hancock, A. Imiya, A. Kuijper, M. Kudo, S. Omachi, T. Windeatt, and K. Yamada, eds., Structural, Syntactic, and Statistical Pattern Recognition (SPR 2012), vol. 7626, LNCS, pp. 417-425. Springer Berlin Heidelberg, 2012.

B. Biggio, G. Fumera, and F. Roli. Learning Sparse Kernel Machines with Biometric Similarity Functions for Identity Recognition. In IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2012. [
B. Biggio, B. Nelson, and P. Laskov. Poisoning attacks against support vector machines. In Int'l Conf. on Machine Learning (ICML), 2012.

B. Biggio, B. Nelson, and P. Laskov. Support vector machines under adversarial label noise. In JMLR Proc. 3rd Asian Conf. Machine Learning (ACML), vol. 20, pp. 97-112, 2011.
B. Nelson, B. Biggio, and P. Laskov. Microbagging estimators: An ensemble approach to distance-weighted classifiers. In JMLR Proc. 3rd Asian Conf. Machine Learning (ACML), vol. 20, pp. 63-79, 2011.
B. Nelson, B. Biggio, and P. Laskov. Understanding the risk factors of learning in adversarial environments. In 4th ACM Workshop on Artificial Intell. and Security (AISec), pp. 87-92, 2011.
Z. Akhtar, B. Biggio, G. Fumera, and G. L. Marcialis. Robustness of multi-modal biometric systems under realistic spoof attacks against all traits. In 2nd Int'l IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS), pp. 5-10, 2011.
B. Biggio, I. Corona, G. Fumera, G. Giacinto, and F. Roli. Bagging classifiers for fighting poisoning attacks in adversarial environments. In 10th Int'l Workshop on Multiple Classifier Systems (MCS), vol. 6713, LNCS, pp. 350-359. Springer-Verlag, 2011.
B. Biggio, Z. Akhtar, G. Fumera, G.L. Marcialis, and F. Roli. Robustness of multi-modal biometric verification systems under realistic spoofing attacks. In Int'l Joint Conf. on Biometrics (IJCB), pp. 1-6, 2011.
B. Biggio, G. Fumera, and F. Roli. Design of robust classifiers for adversarial environments. In IEEE Int'l Conf. on Systems, Man, and Cybernetics (SMC), pp. 977-982, 2011.
B. Biggio, G. Fumera, and F. Roli. Multiple classifier systems under attack. In 9th Int'l Workshop on Multiple Classifier Systems (MCS), LNCS, pp. 74-83. Springer, 2010.
B. Biggio, G. Fumera, and F. Roli. Multiple classifier systems for adversarial classification tasks. In 8th Int'l Workshop on Multiple Classifier Systems (MCS), vol. 5519, LNCS, pp. 132-141. Springer, 2009.
B. Biggio, G. Fumera, I. Pillai, and F. Roli. Improving image spam filtering using image text features. In Fifth Conference on Email and Anti-Spam (CEAS), 2008.
B. Biggio, G. Fumera, and F. Roli. Evade hard multiple classifier systems. In Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA), 2008.
B. Biggio, G. Fumera, and F. Roli. Adversarial pattern classification using multiple classifiers and randomisation. In 12th Joint IAPR Int'l Workshop on Structural and Syntactic Pattern Recognition (SSPR), vol. 5342, LNCS, pp. 500-509, 2008. Springer-Verlag.
G. Fumera, I. Pillai, F. Roli, and B. Biggio. Image spam filtering using textual and visual information. In MIT Spam Conference, 2007.
B. Biggio, G. Fumera, I. Pillai, and F. Roli. Image spam filtering by content obscuring detection. In Fourth Conf. on Email and Anti-Spam (CEAS), 2007.
B. Biggio, G. Fumera, I. Pillai, and F. Roli. Image spam filtering using visual information. In 14th Int'l Conf. on Image Analysis and Processing (ICIAP), pp. 105-110, 2007. IEEE CS.
B. Biggio, G. Fumera, and F. Roli. Bayesian analysis of linear combiners. In 7th Int'l Workshop on Multiple Classifier Systems (MCS), vol. 4472, LNCS, pp. 292-301. Springer, 2007.
PhD Thesis
B. Biggio. Adversarial Pattern Classification. PhD thesis, University of Cagliari (Italy), 2010.
Others
B. Biggio, G. Fumera, I. Pillai, F. Roli, and R. Satta. Evading spamassassin. Virus Bulletin, 2007