CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 11321 > Article
Paper
27 November 2019 XGAN: adversarial attacks with GAN
Xiaoyu Fang, Guoxu Cao, Huapeng Song, Zhiyou Ouyang
Author Affiliations +
Proceedings Volume 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence; 113211G (2019) https://doi.org/10.1117/12.2543218
Event: The Second International Conference on Image, Video Processing and Artifical Intelligence, 2019, Shanghai, China
Abstract
Recent studies have demonstrated that deep neural networks can be attacked by adding small pixel-level perturbations to the input data. In general, such disturbances are indistinguishable to the human eye, but can completely subvert the output of the deep neural network classifier to achieve non-target or target attacks. The current common practice is to superimpose the original image after generating a disturbance for the neural network. In this paper, we applied a method of generating target images directly using GAN to achieve a method of attacking deep neural networks. This method has excellent results on black-box attacks and is also suitable for the preconditions of most neural network attacks. Using this method, we achieved an 82% success rate on the black-box target attack on the cifar10 dataset and the MNIST dataset, while ensuring that the generated image is comparable to the original image.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Xiaoyu Fang, Guoxu Cao, Huapeng Song, and Zhiyou Ouyang "XGAN: adversarial attacks with GAN", Proc. SPIE 11321, 2019 International Conference on Image and Video Processing, and Artificial Intelligence, 113211G (27 November 2019); https://doi.org/10.1117/12.2543218
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image classification
Neural networks
Image processing
Computer vision technology
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top