A Novel System for Deep Contour Classifiers Certification Under Filtering Attacks
Author:
Affiliation:
1. Ecole Nationale des Sciences de l’Informatique (ENSI), La Manouba University,Cristal Laboratory, Grift Research Group,La Manouba,Tunisia,2010
2. The French Alternative Energies and Atomic Energy Commission,CEA,France,91000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9897158/9897159/09897333.pdf?arnumber=9897333
Reference18 articles.
1. ContourVerifier: A Novel System for the Robustness Evaluation of Deep Contour Classifiers
2. Safety and robustness of deep neural networks object recognition under generic attacks;sallami;International Conference on Neural Information Processing,2019
3. Certifying geometric robustness of neural networks;balunovic;Advances in neural information processing systems,2019
4. Automatic control of lamellibranch larva growth using contour invariant feature extraction
5. Towards a Certification of Deep Image Classifiers against Convolutional Attacks
Cited by 1 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. Integrative System of Deep Classifiers Certification: Case of Convolutional Attacks;Lecture Notes in Computer Science;2022
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