Publications

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2021
L. Putzu, Loddo, A., and Di Ruberto, C., “Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval”, in Computer Analysis of Images and Patterns, Cham, 2021, pp. 287–297.
D. Solans, Biggio, B., and Castillo, C., “Poisoning Attacks on Algorithmic Fairness”, in Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020), 2021, p. 162--177. (1.05 MB)
M. Kravchik, Biggio, B., and Shabtai, A., “Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems”, in Proceedings of the 36th Annual ACM Symposium on Applied Computing, New York, NY, USA, 2021, pp. 116–125.
G. Malandrone, Virdis, G., Maiorca, D., and Giacinto, G., “PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis”, 5th Italian Conference on CyberSecurity (ITASEC). 2021. (982.03 KB)
2020
D. Maiorca, Demontis, A., Biggio, B., Roli, F., and Giacinto, G., “Adversarial Detection of Flash Malware: Limitations and Open Issues”, Computers & Security, vol. 96, 2020. (1.08 MB)
L. Putzu, Piras, L., and Giacinto, G., “Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback”, Multimedia Tools and Applications, vol. 79, pp. 26995-27021, 2020.
A. Sotgiu, Demontis, A., Melis, M., Biggio, B., Fumera, G., Feng, X., and Roli, F., “Deep Neural Rejection against Adversarial Examples”, EURASIP Journal on Information Security, vol. 5, 2020.
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.
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)
L. Putzu and Fumera, G., “An empirical evaluation of nuclei segmentation from H&E images in a real application scenario”, Applied Sciences (Switzerland), vol. 10, pp. 1-15, 2020.
F. Cara, Scalas, M., Giacinto, G., and Maiorca, D., “On the Feasibility of Adversarial Sample Creation Using the Android System API”, Information, no. 11(9): 433, 2020. (1.26 MB)
R. Soleymani, Granger, E., and Fumera, G., “F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance”, Pattern Recognition, vol. 100, p. 107146, 2020. (3.15 MB)
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., 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)
2019
C. Gurrin, Schoeffmann, K., Joho, H., Leibetseder, A., Zhou, L., Duane, A., Dang-Nguyen, D. - T., Riegler, M., Piras, L., Tran, M. - T., Lokoč, J., and Hürst, W., “Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)”, ITE Transactions on Media Technology and Applications, vol. 7, pp. 46-59, 2019. (4.7 MB)
A. Carcangiu, Spano, L. Davide, Fumera, G., and Roli, F., “DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model”, International Journal of Human-Computer Studies, vol. 122, p. 20, 2019. (1.69 MB)
F. Crecchi, Bacciu, D., and 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, pp. 483-488. (552.39 KB)
D. Maiorca and Biggio, B., “Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware”, IEEE Security and Privacy: Special Issue on Digital Forensics, vol. 17, no. 1, pp. 63-71, 2019. (838.95 KB)
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., and Giacinto, G., “On the Effectiveness of System API-Related Information for Android Ransomware Detection”, Computers and Security, vol. 86, pp. 162-182, 2019. (706.92 KB)
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. Piras, Caputo, B., Dang-Nguyen, D. - T., Riegler, M., and Halvorsen, P., “Image Retrieval Evaluation in Specific Domains”, in Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF, 2019, pp. 275–305. (202.36 KB)
B. Ionescu, Müller, H., Péteri, R., Dang-Nguyen, D. - T., Piras, L., Riegler, M., Tran, M. - T., Lux, M., Gurrin, C., Cid, Y. Dicente, Liauchuk, V., Kovalev, V., Ben Abacha, A., Hasan, S. A., Datla, V. V., Liu, J., Demner-Fushman, D., Pelka, O., Friedrich, C. M., Chamberlain, J., Clark, A., de Herrera, A. García Se, García, N., Kavallieratou, E., del-Blanco, C. Roberto, Cuevas, C., Vasilopoulos, N., and Karampidis, K., “ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications”, in Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part {II}, 2019, pp. 301–308.
B. Ionescu, Müller, H., Péteri, R., Cid, Y. Dicente, Liauchuk, V., Kovalev, V., Klimuk, D., Tarasau, A., Ben Abacha, A., Hasan, S. A., Datla, V. V., Liu, J., Demner-Fushman, D., Dang-Nguyen, D. - T., Piras, L., Riegler, M., Tran, M. - T., Lux, M., Gurrin, C., Pelka, O., Friedrich, C. M., de Herrera, A. García Se, García, N., Kavallieratou, E., del-Blanco, C. Roberto, Cuevas, C., Vasilopoulos, N., Karampidis, K., Chamberlain, J., Clark, A., and Campello, A., “ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature”, in Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings, 2019, pp. 358–386. (323.96 KB)
V. - T. Ninh, Le, T. - K., Zhou, L., Piras, L., Riegler, M., Lux, M., Tran, M. - T., Gurrin, C., and Dang-Nguyen, D. - T., “LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System”, in Working Notes of {CLEF} 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019., 2019. (1.56 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)

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