Publications

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Conference Paper
B. Biggio, «Machine Learning under Attack: Vulnerability Exploitation and Security Measures (Invited Keynote at IH&MMSec '16)», in 4th ACM Workshop on Information Hiding & Multimedia Security, Vigo, Spain, 2016, pagg 1-2. (138.98 KB)
B. Biggio, Fumera, G., e Roli, F., «Learning Sparse Kernel Machines with Biometric Similarity Functions for Identity Recognition», in IEEE 5th International Conference on Biometrics: Theory, Applications and Systems (BTAS 2012), Washington DC (USA), 2012, pagg 325 -330. (336.11 KB)
B. Biggio, «On Learning and Recognition of Secure Patterns (Invited keynote at AISec '14)», in AISec'14: Proceedings of the 2014 ACM Workshop on Artificial Intelligence and Security, co-located with CCS '14, Scottsdale, Arizona, USA, 2014, pagg 1-2. (110.67 KB)
B. Biggio, Fumera, G., Pillai, I., e Roli, F., «Improving Image Spam Filtering Using Image Text Features», in Fifth Conference on Email and Anti-Spam (CEAS 2008), Mountain View, CA, USA, 2008. (154.27 KB)
B. Biggio, Fumera, G., Pillai, I., e Roli, F., «Image Spam Filtering Using Visual Information», in 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007), Modena, Italy, 2007, pagg 105–110. (173.32 KB)
G. Fumera, Pillai, I., Roli, F., e Biggio, B., «Image spam filtering using textual and visual information», in MIT Spam Conference 2007, Cambridge, MA, USA, 2007. (513.42 KB)
F. Roli, Biggio, B., Fumera, G., Pillai, I., e Satta, R., «Image Spam Filtering by Detection of Adversarial Obfuscated Text», in NIPS Workshop on Machine Learning in Adversarial Environments for Computer Security, Whistler, British Columbia, Canada, 2007. (361.97 KB)
B. Biggio, Fumera, G., Pillai, I., e Roli, F., «Image Spam Filtering by Content Obscuring Detection», in Fourth Conference on Email and Anti-Spam (CEAS 2007), Microsoft Research Silicon Valley, Mountain View, California, 2007. (486.14 KB)
H. Xiao, Biggio, B., Brown, G., Fumera, G., Eckert, C., e Roli, F., «Is Feature Selection Secure against Training Data Poisoning?», in 32nd Int'l Conf. on Machine Learning (ICML) - JMLR W&CP, 2015, vol 32, pagg 1689-1698. (1.54 MB)
M. Melis, Piras, L., Biggio, B., Giacinto, G., Fumera, G., e Roli, F., «Fast Image Classification with Reduced Multiclass Support Vector Machines», in 18th Int'l Conf. on Image Analysis and Processing, Genova, Italy, 2015, vol Image Analysis and Processing (ICIAP 2015), pagg 78-88. (829.37 KB)
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., e Armando, A., «Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries», in 3rd Italian Conference on Cyber Security, ITASEC 2019, Pisa, Italy, 2019, vol 2315. (801.85 KB)
M. Melis, Maiorca, D., Biggio, B., Giacinto, G., e Roli, F., «Explaining Black-box Android Malware Detection», in 26th European Signal Processing Conference (EUSIPCO '18), Rome, Italy, 2018, pagg 524-528. (431.78 KB)
B. Biggio, Corona, I., Maiorca, D., Nelson, B., Srndic, N., Laskov, P., Giacinto, G., e Roli, F., «Evasion attacks against machine learning at test time», in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2013, vol 8190, pagg 387-402. (473.78 KB)
B. Biggio, Fumera, G., e Roli, F., «Evade Hard Multiple Classifier Systems», in Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA 2008), Patras, Greece, 2008. (185.01 KB)
D. Maiorca, Russu, P., Corona, I., Biggio, B., e Giacinto, G., «Detection of Malicious Scripting Code through Discriminant and Adversary-Aware API Analysis», in 1st Italian Conference on CyberSecurity (ITASEC), 2017, vol 1816, pagg 96-105. (371.53 KB)
M. Ahmadi, Biggio, B., Arzt, S., Ariu, D., e Giacinto, G., «Detecting Misuse of Google Cloud Messaging in Android Badware», in 6th Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM), Vienna, Austria, 2016, pagg 103-112. (626.38 KB)
F. Crecchi, Bacciu, D., e Biggio, B., «Detecting Adversarial Examples through Nonlinear Dimensionality Reduction», in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN '19, 2019, pagg 483-488. (552.39 KB)
B. Biggio, Fumera, G., e Roli, F., «Design of Robust Classifiers for Adversarial Environments», in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), Anchorage, Alaska, USA, 2011, pagg 977–982. (328.68 KB)
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., e Roli, F., «Deepsquatting: Learning-based Typosquatting Detection at Deeper Domain Levels», in 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017, vol 10640 of LNCS, pagg 347-358. (1.21 MB)
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., e Roli, F., «Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid», in ICCV 2017 Workshop on Vision in Practice on Autonomous Robots (ViPAR), Venice, Italy, 2017, vol 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pagg 751-759. (3.16 MB)
B. Biggio, Pillai, I., Rota Bulò, S., Ariu, D., Pelillo, M., e Roli, F., «Is Data Clustering in Adversarial Settings Secure?», in AISec'13: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Berlin, 2013, pagg 87-98. (300.52 KB)
B. Biggio, Fumera, G., e Roli, F., «Bayesian Analysis of Linear Combiners», in 7th Int. Workshop on Multiple Classifier Systems (MCS 2007), Prague, Czech Republic, 2007, vol 4472, pagg 292-301. (149.24 KB)
B. Biggio, Corona, I., Fumera, G., Giacinto, G., e Roli, F., «Bagging classifiers for fighting poisoning attacks in adversarial classification tasks», in Multiple Classifier Systems (MCS 2011), 2011, vol 6713, pagg 350-359. (231.43 KB)
B. Biggio, Fumera, G., e Roli, F., «Adversarial Pattern Classification Using Multiple Classifiers and Randomisation», in 12th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR 2008), Orlando, Florida, USA, 2008. (395.38 KB)
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., e Roli, F., «Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables», in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pagg 533-537. (674.62 KB)

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