Android malware detection through generative adversarial networks M Amin, B Shah, A Sharif, T Ali, KI Kim, S Anwar Transactions on Emerging Telecommunications Technologies 33 (2), e3675, 2022 | 56 | 2022 |
Deeporder: Deep learning for test case prioritization in continuous integration testing A Sharif, D Marijan, M Liaaen 2021 IEEE International Conference on Software Maintenance and Evolution …, 2021 | 31 | 2021 |
Adversarial deep reinforcement learning for improving the robustness of multi-agent autonomous driving policies A Sharif, D Marijan 2022 29th Asia-Pacific Software Engineering Conference (APSEC), 61-70, 2022 | 17* | 2022 |
Opening the software engineering toolbox for the assessment of trustworthy AI MK Ahuja, MB Belaid, P Bernabé, M Collet, A Gotlieb, C Lal, D Marijan, ... arXiv preprint arXiv:2007.07768, 2020 | 7 | 2020 |
Function identification in android binaries with deep learning A Sharif, M Nauman 2019 Seventh International Symposium on Computing and Networking (CANDAR …, 2019 | 7 | 2019 |
Evaluating the robustness of deep reinforcement learning for autonomous policies in a multi-agent urban driving environment A Sharif, D Marijan 2022 IEEE 22nd International Conference on Software Quality, Reliability and …, 2022 | 4* | 2022 |
Evaluation of multi-modal mri images for brain tumor segmentation S Fatima, HU Rehman, A Sharif, U Habib 2019 15th International Conference on Emerging Technologies (ICET), 1-6, 2019 | 4 | 2019 |
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events A Sharif, D Marijan arXiv preprint arXiv:2308.14550, 2023 | | 2023 |