ContourVerifier: A Novel System for the Robustness Evaluation of Deep Contour Classifiers-Reference-Cited by-同舟云学术

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ContourVerifier: A Novel System for the Robustness Evaluation of Deep Contour Classifiers

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th International Conference on Agents and Artificial Intelligence
language:
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Author:

Khalsi Rania¹,Sallami Mallek²,Smati Imen¹,Ghorbel Faouzi¹

Affiliation:

1. CRISTAL Laboratory, GRIFT Research Group, Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University, 2010, La Manouba, Tunisia, --- Select a Country ---

2. CEA, Evry, France, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shape classification using a new shape descriptor and multi-view learning;Displays;2024-04

2. DeepGCSS: a robust and explainable contour classifier providing generalized curvature scale space features;Neural Computing and Applications;2023-05-18

3. A Novel System for Deep Contour Classifiers Certification Under Filtering Attacks;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16

4. Coupling algebraic topology theory, formal methods and safety requirements toward a new coverage metric for artificial intelligence models;Neural Computing and Applications;2022-05-30

5. Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks;Lecture Notes in Computer Science;2022

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