Publications

Export 106 results:
Filters: Author is Giorgio Fumera  [Clear All Filters]
2014
G. Fumera, Marcialis, G. L., Biggio, B., Roli, F., and Schuckers, S. C., “Multimodal Anti-Spoofing in Biometric Recognition Systems”, in Handbook of Biometric Anti-Spoofing, S. Marcel, Nixon, M., and Li, S. Z. Springer, 2014, pp. 165-184. (155.83 KB)
B. Biggio, Fumera, G., and Roli, F., “Pattern Recognition Systems under Attack: Design Issues and Research Challenges”, Int'l J. Patt. Recogn. Artif. Intell., vol. 28, no. 7, p. 1460002, 2014. (1.41 MB)
R. Satta, Pala, F., Fumera, G., and Roli, F., “People search with textual queries about clothing appearance attributes”, in Person Re‐Identification, Advances in Computer Vision and Pattern Recognition, S. Gong, Cristani, M., Yan, S., and Loy, C. Change Springer, 2014. (1.07 MB)
B. Biggio, Fumera, G., and Roli, F., “Security evaluation of pattern classifiers under attack”, IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 4, pp. 984-996, 2014. (1.35 MB)
B. Biggio, Corona, I., Nelson, B., Rubinstein, B. I. P., Maiorca, D., Fumera, G., Giacinto, G., and Roli, F., “Security Evaluation of Support Vector Machines in Adversarial Environments”, in Support Vector Machines Applications, Y. Ma and Guo, G. Springer International Publishing, 2014, pp. 105-153. (687.1 KB)
2015
B. Biggio, Fumera, G., Russu, P., Didaci, L., and Roli, F., “Adversarial Biometric Recognition: A Review on Biometric System Security from the Adversarial Machine Learning Perspective”, IEEE Signal Processing Magazine, vol. 32, no. 5, pp. 31-41, 2015. (751.08 KB)
M. A. O. Ahmed, Didaci, L., Fumera, G., and Roli, F., “An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles”, in Multiple Classifier Systems, 2015, vol. 9132, pp. 206-219. (216.76 KB)
M. Melis, Piras, L., Biggio, B., Giacinto, G., Fumera, G., and 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), pp. 78-88. (829.37 KB)
H. Xiao, Biggio, B., Brown, G., Fumera, G., Eckert, C., and 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, pp. 1689-1698. (1.54 MB)
F. Pala, Satta, R., Fumera, G., and Roli, F., “Multi-modal Person Re-Identification Using RGB-D Cameras”, IEEE Transactions on Circuits and Systems for Video Technology, 2015. (1.58 MB) (29.9 KB)
B. Biggio, Melis, M., Fumera, G., and Roli, F., “Sparse Support Faces”, in Int'l Conf. on Biometrics (ICB), 2015, pp. 208-213. (702.84 KB)
A. Demontis, Biggio, B., Fumera, G., and 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), pp. 551-562. (678.7 KB)
D. Ariu, Didaci, L., Fumera, G., Frumento, E., Freschi, F., and Giacinto, G., “Yet Another Cybersecurity Roadmapping Methodology”, in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (1.34 MB)
2016
R. Soleymani, Granger, E., and Fumera, G., “Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification”, in 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 2016, vol. 1, pp. 97-108. (556.82 KB)
R. Soleymani, Granger, E., and Fumera, G., “Loss Factors for Learning Boosting Ensembles from Imbalanced Data”, in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, 2016. (435.44 KB)
P. Russu, Demontis, A., Biggio, B., Fumera, G., and Roli, F., “Secure Kernel Machines against Evasion Attacks”, in 9th ACM Workshop on Artificial Intelligence and Security, Vienna, Austria, 2016, pp. 59-69. (686.41 KB)
A. Demontis, Russu, P., Biggio, B., Fumera, G., and Roli, F., “On Security and Sparsity of Linear Classifiers for Adversarial Settings”, in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition, Merida, Mexico, 2016, vol. 10029 of LNCS, pp. 322-332. (425.68 KB)
A. Demontis, Melis, M., Biggio, B., Fumera, G., and Roli, F., “Super-sparse Learning in Similarity Spaces”, IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 36-45, 2016. (555.22 KB)
2017
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., and 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), pp. 751-759. (3.16 MB)
I. Pillai, Fumera, G., and Roli, F., “Designing multi-label classifiers that maximize F measures: state of the art”, Pattern Recognition, vol. 61, 2017. (452.28 KB)
E. Santucci, Didaci, L., Fumera, G., and Roli, F., “A Parameter Randomization Approach for Constructing Classifier Ensembles”, Pattern Recognition, vol. 69, pp. 1-13, 2017. (448.73 KB)
B. Biggio, Fumera, G., Marcialis, G. L., and Roli, F., “Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 3, pp. 561-575, 2017. (5.7 MB)
2018
R. Soleymani, Granger, E., and Fumera, G., “F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data”, in 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018), Siena, 2018. (413.21 KB)
B. Lavi, Fumera, G., and Roli, F., “Multi-Stage Ranking Approach for Fast Person Re-Identification”, IET Computer Vision, vol. 12, no. 4, p. 7, 2018. (1.07 MB)
R. Soleymani, Granger, E., and Fumera, G., “Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification”, Expert Systems With Applications, vol. 101, p. 21, 2018. (1.11 MB)

Pages