25 citations · 26 across the 5 of their papers we have counts for
5 papers
GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth
Mohammed Attaoui, Fabrizio Pastore
The generation of synthetic inputs via simulators driven by search algorithms is essential for cost-effective testing of Deep Neural Network (DNN) components for safety-critical sy…
Search-based DNN Testing and Retraining with GAN-enhanced Simulations
Mohammed Oualid Attaoui, Fabrizio Pastore, Lionel Briand
In safety-critical systems (e.g., autonomous vehicles and robots), Deep Neural Networks (DNNs) are becoming a key component for computer vision tasks, particularly semantic segment…
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches
Mohammed Oualid Attaoui, Hazem Fahmy, Fabrizio Pastore +1
The adoption of deep neural networks (DNNs) in safety-critical contexts is often prevented by the lack of effective means to explain their results, especially when they are erroneo…
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization
Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah +1
The analysis of data streams has received considerable attention over the past few decades due to sensors, social media, etc. It aims to recognize patterns in an unordered, infinit…
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering
Mohammed Oualid Attaoui, Hazem Fahmy, Fabrizio Pastore +1
Deep neural networks (DNNs) have demonstrated superior performance over classical machine learning to support many features in safety-critical systems. Although DNNs are now widely…