Amora: Black-box Adversarial Morphing Attack-Reference-Cited by-同舟云学术

Amora: Black-box Adversarial Morphing Attack

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Wang Run¹,Juefei-Xu Felix²,Guo Qing¹,Huang Yihao³,Xie Xiaofei¹,Ma Lei⁴,Liu Yang⁵

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Alibaba Group, San Francisco, CA, USA

3. East China Normal University, Shanghai, China

4. Kyushu University, Fukuoka, Japan

5. Nanyang Technology University, Singapore & Zhejiang University, Singapore, Singapore

Funder

Singapore National Cybersecurity R&D Program

JSPS KAKENHI

NRF Investigatorship

JST-Mirai Program

National Satellite of Excellence in Trustworthy Software System

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413544

Reference58 articles.

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2. 2020. Keras-vggface. https://github.com/rcmalli/keras-vggface. (2020). 2020. Keras-vggface. https://github.com/rcmalli/keras-vggface. (2020).

3. 2020. Progressive Growing of GANs for Improved Quality Stability and Variation. https://github.com/tkarras/progressive_growing_of_gans. (2020). 2020. Progressive Growing of GANs for Improved Quality Stability and Variation. https://github.com/tkarras/progressive_growing_of_gans. (2020).

4. 2020. StyleGAN Encoder - converts real images to latent space. https://github. com/Puzer/stylegan-encoder. (2020). 2020. StyleGAN Encoder - converts real images to latent space. https://github. com/Puzer/stylegan-encoder. (2020).

5. Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

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