Aizaz Sharif

Aizaz Sharif
Simula Research Laboratory · Department of Validation Intelligence for Autonomous Software Systems

Master of Computer Science

About

9
Publications
769
Reads
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29
Citations
Additional affiliations
February 2020 - March 2023
Simula Research Laboratory
Position
  • PhD Student

Publications

Publications (9)
Conference Paper
Application security support has become a preference for the enterprise as cybersecurity threats have transferred from the network perimeter to the application layer in modern years. To ensure that the software is secure, organizations must test it before purchase or deployment and identify any flaws that may expose the organizations to vulnerabili...
Conference Paper
Full-text available
Brain tumors are the most threatening types of tumors and are classified into four grades. To capture the contrast variations of each grade of tumor, currently, the Magnetic Resonance Imaging (MRI) images are considered as the gold standard and are preferred due to their non-invasive nature. However, accurate segmentation of these tumors relies on...
Preprint
Full-text available
Continuous integration testing is an important step in the modern software engineering life cycle. Test prioritization is a method that can improve the efficiency of continuous integration testing by selecting test cases that can detect faults in the early stage of each cycle. As continuous integration testing produces voluminous test execution dat...
Preprint
Deep reinforcement learning is widely used to train autonomous cars in a simulated environment. Still, autonomous cars are well known for being vulnerable when exposed to adversarial attacks. This raises the question of whether we can train the adversary as a driving agent for finding failure scenarios in autonomous cars, and then retrain autonomou...
Preprint
Deep reinforcement learning is actively used for training autonomous driving agents in a vision-based urban simulated environment. Due to the large availability of various reinforcement learning algorithms, we are still unsure of which one works better while training autonomous cars in single-agent as well as multi-agent driving environments. A com...
Preprint
Full-text available
Trustworthiness is a central requirement for the acceptance and success of human-centered artificial intelligence (AI). To deem an AI system as trustworthy, it is crucial to assess its behaviour and characteristics against a gold standard of Trustworthy AI, consisting of guidelines, requirements, or only expectations. While AI systems are highly co...

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