Exposing GAN-synthesized Faces Using Landmark Locations-Reference-Cited by-同舟云学术

Exposing GAN-synthesized Faces Using Landmark Locations

Published:2019-07-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Workshop on Information Hiding and Multimedia Security
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Author:

Yang Xin¹,Li Yuezun¹,Qi Honggang²,Lyu Siwei¹

Affiliation:

1. University at Albany, State University of New York, Albany, NY, USA

2. University of the Chinese Academy of Sciences, Beijing, China

Funder

the Defense Advanced Research Projects Agency (DARPA)

United States Air Force Research Laboratory (AFRL)

Google Faculty Research Award

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3335203.3335724

Reference22 articles.

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2. Li Deng. 2014. A tutorial survey of architectures algorithms and applications for deep learning. APSIPA Transactions on Signal and Information Processing 3 (2014). Li Deng. 2014. A tutorial survey of architectures algorithms and applications for deep learning. APSIPA Transactions on Signal and Information Processing 3 (2014).

3. Ian Goodfellow Yoshua Bengio and Aaron Courville. 2016. Deep Learning. MIT Press. http://www.deeplearningbook.org. Ian Goodfellow Yoshua Bengio and Aaron Courville. 2016. Deep Learning. MIT Press. http://www.deeplearningbook.org.

4. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In NIPS. Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In NIPS.

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