StegoNet: Turn Deep Neural Network into a Stegomalware-Reference-Cited by-同舟云学术

StegoNet: Turn Deep Neural Network into a Stegomalware

Published:2020-12-07 Issue: Volume: Page:
ISSN:
Container-title:Annual Computer Security Applications Conference
language:
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Author:

Liu Tao¹,Liu Zihao²,Liu Qi³,Wen Wujie³,Xu Wenyao⁴,Li Ming⁵

Affiliation:

1. Lawrence Technological University, United States of America

2. Florida International University

3. Lehigh University

4. SUNY Buffalo, United States of America

5. University of Arizona, United States of America

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3427228.3427268

Reference45 articles.

1. Amazon. 2018. Amazon Machine Learning. https://aws.amazon.com/machine-learning/. Amazon. 2018. Amazon Machine Learning. https://aws.amazon.com/machine-learning/.

2. Christopher M Bishop. 2006. Pattern recognition and machine learning. springer. Christopher M Bishop. 2006. Pattern recognition and machine learning. springer.

3. Benedikt Boehm. 2014. Stegexpose-A tool for detecting LSB steganography. https://github.com/b3dk7/StegExpose/. arXiv preprint arXiv:1410.6656(2014). Benedikt Boehm. 2014. Stegexpose-A tool for detecting LSB steganography. https://github.com/b3dk7/StegExpose/. arXiv preprint arXiv:1410.6656(2014).

4. BVLC/caffe. 2018. DNN Model Zoo. https://github.com/BVLC/caffe/wiki/Model-Zoo/. BVLC/caffe. 2018. DNN Model Zoo. https://github.com/BVLC/caffe/wiki/Model-Zoo/.

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