D2NN-Reference-Cited by-同舟云学术

D2NN

Published:2019-12-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 35th Annual Computer Security Applications Conference
language:
Short-container-title:

Author:

Li Yu¹,Liu Yannan²,Li Min¹,Tian Ye¹,Luo Bo¹,Xu Qiang¹

Affiliation:

1. The Chinese University of Hong Kong, Shatin, N.T., Hong Kong

2. Sangfor Technologies Inc., Shenzhen, China

Funder

Hong Kong GRF

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3359789.3359831

Reference32 articles.

1. Practical Fault Attack on Deep Neural Networks

2. DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

3. Joseph Clements and Yingjie Lao. 2018. Hardware trojan attacks on neural networks. arXiv preprint arXiv:1806.05768 (2018). Joseph Clements and Yingjie Lao. 2018. Hardware trojan attacks on neural networks. arXiv preprint arXiv:1806.05768 (2018).

4. Andre Esteva Brett Kuprel Roberto A Novoa Justin Ko Susan M Swetter Helen M Blau and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542 7639 (2017) 115. Andre Esteva Brett Kuprel Roberto A Novoa Justin Ko Susan M Swetter Helen M Blau and Sebastian Thrun. 2017. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542 7639 (2017) 115.

5. EIE: Efficient Inference Engine on Compressed Deep Neural Network

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