Profil

FAHMY Hazem

Main Referenced Co-authors
BRIAND, Lionel  (5)
PASTORE, Fabrizio  (5)
ATTAOUI, Mohammed Oualid  (2)
Bagherzadeh, Mojtaba (1)
Stifter, Thomas (1)
Main Referenced Keywords
DNN Explanation (4); AI (3); Debugging (3); DNN Functional Safety Analysis (3); Heatmaps (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) (4)
ULHPC - University of Luxembourg: High Performance Computing (3)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation (2)
Main Referenced Disciplines
Computer science (6)

Publications (total 6)

The most downloaded
557 downloads
FAHMY, H. (2023). Supporting Safety Analysis of Deep Neural Networks with Automated Debugging and Repair [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55149 https://hdl.handle.net/10993/55149

The most cited

31 citations (OpenAlex)

FAHMY, H., PASTORE, F., Bagherzadeh, M., & BRIAND, L. (May 2021). Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning. IEEE Transactions on Reliability, 70 (4), 1641-1657. doi:10.1109/TR.2021.3074750 https://hdl.handle.net/10993/46838

ATTAOUI, M. O., FAHMY, H., PASTORE, F., & BRIAND, L. (2024). Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3643671
Peer Reviewed verified by ORBi

FAHMY, H., PASTORE, F., BRIAND, L., & Stifter, T. (2023). Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3569935
Peer Reviewed verified by ORBi

FAHMY, H. (2023). Supporting Safety Analysis of Deep Neural Networks with Automated Debugging and Repair [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/55149

ATTAOUI, M. O., FAHMY, H., PASTORE, F., & BRIAND, L. (2022). Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3550271
Peer Reviewed verified by ORBi

FAHMY, H., PASTORE, F., & BRIAND, L. (2022). HUDD: A tool to debug DNNs for safety analysis. In 2022 IEEE/ACM 44th International Conference on Software Engineering. Pittsburgh, PA, United States: ACM/IEEE. doi:10.1145/3510454.3516858
Peer reviewed

FAHMY, H., PASTORE, F., Bagherzadeh, M., & BRIAND, L. (May 2021). Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning. IEEE Transactions on Reliability, 70 (4), 1641-1657. doi:10.1109/TR.2021.3074750
Peer Reviewed verified by ORBi

Contact ORBilu