S. Saleem

PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable

M. Fraz, M. Shahzad, S.K. Rizvi, 2021, Complex & Intelligent Systems.

Securing Insulin Pump System Using Deep Learning and Gesture Recognition

Hong Song, Usman Ahmad, Asad Ullah, 2018, 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE).

Cross-validation of machine learning algorithms for malware detection using static features of Windows portable executables: A Comparative Study

M. Fraz, S.K. Rizvi, Warda Aslam, 2020, 2020 IEEE 17th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET).

Using Open Source Tools for Spatial Temporal Querying and Knowledge Discovery from Moving Object Data

Z. Rehman, Aneeq Ahmad, S. Saleem, 2022 .

PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable

M. Fraz, M. Shahzad, S.K. Rizvi, 2021, Complex & Intelligent Systems.

Optimizing features for malware-benign clustering using Windows portable executables

M. Fraz, S.K. Rizvi, Warda Aslam, 2021, 2021 International Conference on Artificial Intelligence (ICAI).

A machine learning framework for investigating data breaches based on semantic analysis of adversary's attack patterns in threat intelligence repositories

Asad Waqar Malik, Zahid Anwar, Sharifullah Khan, 2019, Future Gener. Comput. Syst..

A Supervised Machine Learning Based Approach for Automatically Extracting High-Level Threat Intelligence from Unstructured Sources

Zahid Anwar, Ali Tahir, Shahzad Saleem, 2018, 2018 International Conference on Frontiers of Information Technology (FIT).