Strengthening Deep Neural Networks : Making AI Less Susceptible to Adversarial Trickery /
As Deep Neural Networks (DNNs) become increasingly common in real-world applications, the potential to "fool" them presents a new attack vector. In this book, author Katy Warr examines the security implications of how DNNs interpret audio and images very differently to humans. You'll...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | Warr, Katy (Autor) |
Autor Corporativo: | Safari, an O'Reilly Media Company |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Sebastopol :
O'Reilly Media, Incorporated,
2019.
|
Edición: | First edition. |
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Focus on artificial neural networks /
Publicado: (2011) -
Blind equalization in neural networks : theory, algorithms and application /
por: Zhang, Liyi, et al.
Publicado: (2018) -
Artificial neural network training and software implementation techniques /
por: Kattan, Ali
Publicado: (2011) -
New developments in artificial neural networks research /
Publicado: (2011) -
Deep neural networks and applications
por: Stanimirović, Ivan
Publicado: (2020)