Publications
, “Anti-spoofing: Multimodal”, in Encyclopedia of Biometrics, Springer US, 2014, pp. 1-4.
, “Bayesian Linear Combination of Neural Networks”, in Innovations in Neural Information Paradigms and Applications, vol. 247, Springer Berlin / Heidelberg, 2009, pp. 201-230.
(435.32 KB)
(435.32 KB), “Evade Hard Multiple Classifier Systems”, in Supervised and Unsupervised Ensemble Methods and Their Applications, vol. 245, Springer Berlin / Heidelberg, 2009, pp. 15-38. (562.89 KB)
(562.89 KB), “Multimodal Anti-Spoofing in Biometric Recognition Systems”, in Handbook of Biometric Anti-Spoofing, Springer, 2014, pp. 165-184. (155.83 KB)
(155.83 KB), “Security Evaluation of Support Vector Machines in Adversarial Environments”, in Support Vector Machines Applications, Springer International Publishing, 2014, pp. 105-153. (687.1 KB)
(687.1 KB), “Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables”, in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 KB)
(674.62 KB), “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)
(395.38 KB), “Bagging classifiers for fighting poisoning attacks in adversarial classification tasks”, in Multiple Classifier Systems (MCS 2011), 2011, vol. 6713, pp. 350-359. (231.43 KB)
(231.43 KB), “Bayesian Analysis of Linear Combiners”, in 7th Int. Workshop on Multiple Classifier Systems (MCS 2007), Prague, Czech Republic, 2007, vol. 4472, pp. 292-301. (149.24 KB)
(149.24 KB), “Is Data Clustering in Adversarial Settings Secure?”, in AISec'13: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Berlin, 2013, pp. 87-98. (300.52 KB)
(300.52 KB), “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), pp. 751-759. (3.16 MB)
(3.16 MB), “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, pp. 347-358. (1.21 MB)
(1.21 MB), “Design of Robust Classifiers for Adversarial Environments”, in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), Anchorage, Alaska, USA, 2011, pp. 977–982. (328.68 KB)
(328.68 KB), “Detecting Adversarial Examples through Nonlinear Dimensionality Reduction”, in 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN '19, 2019, pp. 483-488. (552.39 KB)
(552.39 KB), “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, pp. 103-112. (626.38 KB)
(626.38 KB), “Detection of Malicious Scripting Code through Discriminant and Adversary-Aware API Analysis”, in 1st Italian Conference on CyberSecurity (ITASEC), 2017, vol. 1816, pp. 96-105. (371.53 KB)
(371.53 KB), “Evade Hard Multiple Classifier Systems”, in Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA 2008), Patras, Greece, 2008. (185.01 KB)
(185.01 KB), “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, pp. 387-402. (473.78 KB)
(473.78 KB), “Explainability-Based Debugging of Machine Learning for Vulnerability Discovery”, in Proc. 17th International Conference on Availability, Reliability and Security, New York, NY, USA, 2022.
, “Explaining Black-box Android Malware Detection”, in 26th European Signal Processing Conference (EUSIPCO '18), Rome, Italy, 2018, pp. 524-528. (431.78 KB)
(431.78 KB), “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)
(801.85 KB), “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), pp. 78-88. (829.37 KB)
(829.37 KB), “Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints”, in NeurIPS, 2021.
, “Is Feature Selection Secure against Training Data Poisoning?”, in 32nd Int'l Conf. on Machine Learning (ICML) - JMLR W&CP, 2015, vol. 32, pp. 1689-1698. (1.54 MB)
(1.54 MB), “The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers?”, in International Joint Conference on Neural Networks, (IJCNN) 2021, Shenzhen, China, 2021, pp. 1–8.
