35 citations · 63 across the 4 of their papers we have counts for
4 papers
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…
HUDD: A tool to debug DNNs for safety analysis
Hazem Fahmy, Fabrizio Pastore, Lionel Briand
We present HUDD, a tool that supports safety analysis practices for systems enabled by Deep Neural Networks (DNNs) by automatically identifying the root causes for DNN errors and r…
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…
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning
Hazem Fahmy, Fabrizio Pastore, Mojtaba Bagherzadeh +1
Deep neural networks (DNNs) are increasingly important in safety-critical systems, for example in their perception layer to analyze images. Unfortunately, there is a lack of method…