Aizaz Sharif

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 11

Top Topics

Integration Testing

Partially Observable Markov Decision Processes

Reinforcement Learning

Top Venues

Publications

Aizaz Sharif, Dusica Marijan
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events. CoRR (2023)
Aizaz Sharif, Dusica Marijan
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-Agent Urban Driving Environment. QRS (2022)
Aizaz Sharif, Dusica Marijan
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies. APSEC (2022)
Muhammad Amin, Babar Shah, Aizaz Sharif, Tamleek Ali, Ki-Il Kim, Sajid Anwar
Android malware detection through generative adversarial networks. Trans. Emerg. Telecommun. Technol. 33 (2) (2022)
Aizaz Sharif, Dusica Marijan
Adversarial Deep Reinforcement Learning for Trustworthy Autonomous Driving Policies. CoRR (2021)
Aizaz Sharif, Dusica Marijan, Marius Liaaen
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing. CoRR (2021)
Aizaz Sharif, Dusica Marijan
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous and Adversarial Policies in a Multi-agent Urban Driving Environment. CoRR (2021)
Aizaz Sharif, Dusica Marijan, Marius Liaaen
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing. ICSME (2021)
Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker
Opening the software engineering toolbox for the assessment of trustworthy AI. NeHuAI@ECAI (2020)
Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI. CoRR (2020)
Aizaz Sharif, Mohammad Nauman
Function Identification in Android Binaries with Deep Learning. CANDAR (2019)