Publications

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D. - T. Dang-Nguyen, Boato, G., De Natale, F. G. B., Piras, L., Giacinto, G., Tuveri, F., and Angioni, M., Multimodal-based Diversified Summarization in Social Image Retrieval, in Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015., 2015. (755.79 KB)
D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., Retrieval of Diverse Images by Pre-filtering and Hierarchical Clustering, in MediaEval (Online Working Notes), Barcelona; Spain, 2014, vol. 1263. (221.52 KB)
D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., and De Natale, F. G. B., Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images, ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 13, no. 4, 2017. (5.94 MB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Zhou, L., Lux, M., Tran, M. - T., Le, T. - K., Ninh, V. - T., and Gurrin, C., Overview of ImageCLEFlifelog 2019: Solve My Life Puzzle and Lifelog Moment Retrieval, in Working Notes of {CLEF} 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019., 2019. (4.58 MB)
S. Kumar Dash, Suarez-Tangil, G., Khan, S., Tam, K., Ahmadi, M., Kinder, J., and Cavallaro, L., DroidScribe: Classifying Android Malware Based on Runtime Behavior, in Mobile Security Technologies (MoST 2016), 2016. (571.22 KB)
R. Delussu, Putzu, L., Fumera, G., and Roli, F., Online Domain Adaptation for Person Re-Identification with a Human in the Loop, in 25th International Conference on Pattern Recognition, {ICPR} 2020, Virtual Event / Milan, Italy, January 10-15, 2021, 2020, pp. 3829–3836. (770.02 KB)
R. Delussu, Putzu, L., and Fumera, G., An Empirical Evaluation of Cross-scene Crowd Counting Performance, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, Valletta - Malta, 2020, vol. 4, pp. 373-380. (527.29 KB)
R. Delussu, Putzu, L., and Fumera, G., Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta - Malta, 2020, vol. 4, pp. 365-372. (4.23 MB)
R. Delussu, Putzu, L., and Fumera, G., Scene-specific Crowd Counting Using Synthetic Training Images, Pattern Recognition, In Press. (3.14 MB)
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., and Armando, A., Functionality-Preserving Black-Box Optimization of Adversarial Windows Malware, IEEE Transactions on Information Forensics and Security, vol. 16, pp. 3469-3478, 2021.
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., and 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)
L. Demetrio, Coull, S. E., Biggio, B., Lagorio, G., Armando, A., and Roli, F., Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection, ACM Trans. Priv. Secur., vol. 24, 2021.
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F., Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection, IEEE Trans. Dependable and Secure Computing, vol. 16, no. 4, pp. 711-724, 2019. (3.61 MB)
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, Biggio, B., Fumera, G., Giacinto, G., and Roli, F., Infinity-norm Support Vector Machines against Adversarial Label Contamination, 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pp. 106-115, 2017. (504.93 KB)
A. Demontis, Melis, M., Pintor, M., Jagielski, M., Biggio, B., Oprea, A., Nita-Rotaru, C., and Roli, F., Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks, in 28th Usenix Security Symposium, Santa Clara, California, USA, 2019, vol. 28th {USENIX} Security Symposium ({USENIX} Security 19), p. 321--338. (1.09 MB)
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)
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)
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., Adaptive Appearance Model Tracking for Still-to-Video Face Recognition, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)
M. A. A. Dewan, Granger, E., Sabourin, R., Roli, F., and Marcialis, G. L., A comparison of adaptive appearance methods for tracking faces in video surveillance, in 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 2013.
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker, in IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2015), 2015, pp. 192-202. (533.82 KB)
C. Di Ruberto, Loddo, A., and Putzu, L., Detection of red and white blood cells from microscopic blood images using a region proposal approach, Computers in Biology and Medicine, vol. 116, 2020.
M. Dibitonto, Buonaiuto, A., Marcialis, G. L., Muntoni, D., Medaglia, C. Maria, and Roli, F., Fusion of Radio and Video Localization for People Tracking, in Int. Joint Conf. on Ambient Intelligence (AMI2011), Amsterdam (Holland), 2011.
L. Didaci, Dynamic Classifier Selection, Cagliari (Italy), 2005.
L. Didaci, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.

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