Publications
, “Detecting Adversarial Examples through Nonlinear Dimensionality Reduction”, in ESANN '19, In Press.
, “Diversified Sensitivity based Undersampling for Imbalance Classification Problems”, IEEE Transactions on Cybernetics, In Press.
(1.91 MB)
(1.91 MB), “DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware”, in Proceedings of the Seventh {ACM} Conference on Data and Application Security and Privacy, {CODASPY} 2017, In Press. (478.59 KB)
(478.59 KB), “F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance”, Pattern Recognition, In Press.
, “On Reducing the Effect of Covariate Factors in Gait Recognition: a Classifier Ensemble Method”, IEEE Transactions on Pattern Analysis and Machine Intelligence, In Press. (311.43 KB) (151.4 KB)
(311.43 KB) (151.4 KB), “Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation”, Theoretical and Applied Informatics, In Press.
, “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)
(527.29 KB), “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)
(4.23 MB), “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)
(4.7 MB), “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)
(1.69 MB), “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)
(838.95 KB), “On the Effectiveness of System API-Related Information for Android Ransomware Detection”, Computers and Security, vol. 86, pp. 162-182, 2019. (706.92 KB)
(706.92 KB), “Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries”, in 3rd Italian Conference on Cyber Security, ITASEC 2019, Pisa, Italy, 2019, vol. 2315.
, “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)
(202.36 KB), “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.
, “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)
(323.96 KB), “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)
(1.56 MB), “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)
(4.58 MB), “PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware”, 16th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA). Springer, Gothenburg, Sweden, pp. 240-259, 2019. (352.39 KB)
(352.39 KB), “Proceedings of the {ACM} Workshop on Lifelog Search Challenge, LSC@ICMR 2019, Ottawa, ON, Canada, 10 June 2019”. ACM, 2019.
, “secml: A Python Library for Secure and Explainable Machine Learning”. 2019. (1.1 MB)
(1.1 MB), “Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks”, ACM Computing Surveys, vol. 52, no. 4, 2019. (1.21 MB)
(1.21 MB), “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)
(1.09 MB), “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)
(3.61 MB), “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)
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