Aizaz Sharif

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment

D. Marijan, Aizaz Sharif, 2021, ArXiv.

Function Identification in Android Binaries with Deep Learning

Mohammad Nauman, Aizaz Sharif, Aizaz Sharif, 2019, 2019 Seventh International Symposium on Computing and Networking (CANDAR).

Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies

D. Marijan, Aizaz Sharif, 2021, 2112.11937.

Adversarial Deep Reinforcement Learning for Trustworthy Autonomous Driving Policies pdf

Dusica Marijan, Aizaz Sharif, D. Marijan, 2021, ArXiv.

Android malware detection through generative adversarial networks

Babar Shah, Tamleek Ali, Sajid Anwar, 2019, Transactions on Emerging Telecommunications Technologies.

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment pdf

Dusica Marijan, Aizaz Sharif, D. Marijan, 2021, ArXiv.

Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-Agent Urban Driving Environment

D. Marijan, Aizaz Sharif, 2021, International Conference on Software Quality, Reliability and Security.

DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing pdf

Dusica Marijan, Marius Liaaen, Aizaz Sharif, 2021, 2021 IEEE International Conference on Software Maintenance and Evolution (ICSME).

Evaluation of Multi-Modal MRI Images for Brain Tumor Segmentation

Hafeez Ur Rehman, Usman Habib, Safia Fatima, 2019, 2019 15th International Conference on Emerging Technologies (ICET).

Opening the software engineering toolbox for the assessment of trustworthy AI

Chhagan Lal, A. Gotlieb, S. Sen, 2020, NeHuAI@ECAI.