Supporting Safety Analysis of Deep Neural Networks with Automated Debugging and Repair

Fahmy, Hazem

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Doctoral thesis (Dissertations and theses)

Supporting Safety Analysis of Deep Neural Networks with Automated Debugging and Repair

Fahmy, Hazem

2023

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https://hdl.handle.net/10993/55149

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Research center :

- Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SVV - Software Verification and Validation

Disciplines :

Computer science

Author, co-author :

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

Language :

English

Title :

Supporting Safety Analysis of Deep Neural Networks with Automated Debugging and Repair

Defense date :

03 May 2023

Number of pages :

178

Institution :

Unilu - University of Luxembourg, Luxembourg

Degree :

Docteur en Informatique

Promotor :

Pastore, Fabrizio

President :

Briand, Lionel

Secretary :

Stifter, Thomas

Jury member :

Stocco, Andrea

Riccio, Vincenzo

Focus Area :

Security, Reliability and Trust

European Projects :

H2020 - 694277 - TUNE - Testing the Untestable: Model Testing of Complex Software-Intensive Systems

FnR Project :

FNR14711346 - Functional Safety For Autonomous Systems, 2020 (01/08/2020-31/07/2023) - Fabrizio Pastore

Funders :

CE - Commission Européenne [BE]

Available on ORBilu :

since 14 May 2023

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