Publications
, «Anti-spoofing: Multimodal», in Encyclopedia of Biometrics, Springer US, 2014, pagg 1-4.
, «Bayesian Linear Combination of Neural Networks», in Innovations in Neural Information Paradigms and Applications, vol 247, Springer Berlin / Heidelberg, 2009, pagg 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, pagg 15-38. (562.89 KB)
(562.89 KB), «Multimodal Anti-Spoofing in Biometric Recognition Systems», in Handbook of Biometric Anti-Spoofing, Springer, 2014, pagg 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, pagg 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, pagg 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, pagg 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, pagg 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, pagg 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), pagg 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, pagg 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, pagg 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, pagg 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, pagg 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, pagg 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, pagg 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, pagg 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), pagg 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, pagg 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, pagg 1–8.
