DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks

State-of-the-art deep neural networks have achieved impressive results on many image classification tasks. However, these same architectures have been shown to be unstable to small, well sought, perturbations of the images. Despite the importance of this phenomenon, no effective methods have been pr...

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Bibliographische Detailangaben

Veröffentlicht in:	2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) S. 2574 - 2582
Hauptverfasser:	Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, Frossard, Pascal
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2016
Schlagworte:	Algorithm design and analysis Computer vision Level set Neural networks Optimization Pattern recognition Robustness
ISSN:	1063-6919
Online-Zugang:	Volltext
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