1. Novel feature extraction, selection and fusion for effective malware family classification;Ahmadi,2016
2. Empirical assessment of machine learning-based malware detectors for android;Allix;Empir Softw Eng,2016
3. PEiD, version 0.95;AppNee,2018
4. PeLib, version 1.0;Avast,2018
5. Semi-supervised learning enabled by multiscale deep neural network inversion. CoRR;Balestriero,2018