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ATTAOUI Mohammed Oualid

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SVV

Main Referenced Co-authors
PASTORE, Fabrizio  (3)
BRIAND, Lionel  (2)
FAHMY, Hazem  (2)
Briand Lionel (1)
Main Referenced Keywords
Clustering (1); Computer Science - Learning (1); Computer Science - Software Engineering (1); DNN Debugging (1); DNN Explanation (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation (1)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) (1)
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Computer science (3)

Publications (total 3)

The most downloaded
60 downloads
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 https://hdl.handle.net/10993/52372

The most cited

4 citations (Scopus®)

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 https://hdl.handle.net/10993/52372

ATTAOUI, M. O., PASTORE, F., & Briand Lionel. (In press). SAFE: Safety Analysis and Retraining of DNNs. In Companion Proceedings of the 46th International Conference on Software Engineering (ICSE 2024). New York, United States: ACM.
Peer reviewed

ATTAOUI, M. O., FAHMY, H., PASTORE, F., & BRIAND, L. (In press). Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/58139. doi:10.1145/3643671

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

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