Practical Fault Attack on Deep Neural Networks-Reference-Cited by-同舟云学术

Practical Fault Attack on Deep Neural Networks

Published:2018-10-08 Issue: Volume: Page:
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Container-title:Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Breier Jakub¹,Hou Xiaolu¹,Jap Dirmanto¹,Ma Lei²,Bhasin Shivam¹,Liu Yang¹

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Harbin Institute of Technology, Harbin, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3243734.3278519

Reference8 articles.

1. The Sorcerer's Apprentice Guide to Fault Attacks

2. L. Batina S. Bhasin D. Jap and S. Picek. 2018. CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information. Cryptology ePrint Archive Report 2018/477. (2018). L. Batina S. Bhasin D. Jap and S. Picek. 2018. CSI Neural Network: Using Side-channels to Recover Your Artificial Neural Network Information. Cryptology ePrint Archive Report 2018/477. (2018).

3. E. Biham and A. Shamir. 1997. Differential fault analysis of secret key cryptosystems. In Annual international cryptology conference. Springer 513--525. E. Biham and A. Shamir. 1997. Differential fault analysis of secret key cryptosystems. In Annual international cryptology conference. Springer 513--525.

4. Laser Profiling for the Back-Side Fault Attacks

5. C. Giraud and H. Thiebeauld. 2004. A survey on fault attacks. In Smart Card Research and Advanced Applications VI. Springer 159--176. C. Giraud and H. Thiebeauld. 2004. A survey on fault attacks. In Smart Card Research and Advanced Applications VI. Springer 159--176.

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