On Reverse Engineering Neural Network Implementation on GPU-Reference-Cited by-同舟云学术

On Reverse Engineering Neural Network Implementation on GPU

Published:2021 Issue: Volume: Page:96-113
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Chmielewski Łukasz,Weissbart Léo

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-81645-2_7

Reference35 articles.

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2. Chabanne, H., Danger, J.L., Guiga, L., Kühne, U.: Side channel attacks for architecture extraction of neural networks. CAAI Trans. Intell. Technol. 6(1), 3–16 (2021)

3. Lecture Notes in Computer Science;S Chari,2003

4. Fujiyoshi, H., Hirakawa, T., Yamashita, T.: Deep learning-based image recognition for autonomous driving. IATSS Res. 43(4), 244–252 (2019)

5. Gao, Y., Zhou, Y., Cheng, W.: How Does Strict Parallelism Affect Security? A Case Study on the Side-Channel Attacks against GPU-based Bitsliced AES Implementation. IACR Cryptology ePrint Archive 2018/1080 (2018)

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