Markov Chain Based Efficient Defense Against Adversarial Examples in Computer Vision
Adversarial examples are the inputs to machine learning models that result in erroneous outputs, which are usually generated from normal inputs via subtle modification and seem to remain unchanged to human observers. They have severely threatened the applications of machine learning, especially in t...
| Autores principales: | , , , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
IEEE
2019-01-01
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| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/8586862/ |