31 citations · 38 across the 5 of their papers we have counts for
5 papers
ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events
Aizaz Sharif, Dusica Marijan
Autonomous vehicles are advanced driving systems that are well known to be vulnerable to various adversarial attacks, compromising vehicle safety and posing a risk to other road us…
Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-agent Urban Driving Environment
Aizaz Sharif, Dusica Marijan
Deep reinforcement learning is actively used for training autonomous car policies in a simulated driving environment. Due to the large availability of various reinforcement learnin…
Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies
Aizaz Sharif, Dusica Marijan
Autonomous cars are well known for being vulnerable to adversarial attacks that can compromise the safety of the car and pose danger to other road users. To effectively defend agai…
DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing
Aizaz Sharif, Dusica Marijan, Marius Liaaen
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 int…
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
Mohit Kumar Ahuja, Mohamed-Bachir Belaid, Pierre Bernabé +7
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…