Quantization Backdoors to Deep Learning Commercial Frameworks-Reference-Cited by-同舟云学术

Quantization Backdoors to Deep Learning Commercial Frameworks

Published:2023 Issue: Volume: Page:1-18
ISSN:1545-5971
Container-title:IEEE Transactions on Dependable and Secure Computing
language:
Short-container-title:IEEE Trans. Dependable and Secure Comput.

Author:

Ma Hua¹,Qiu Huming²,Gao Yansong³^ORCID,Zhang Zhi⁴^ORCID,Abuadbba Alsharif³,Xue Minhui³,Fu Anmin²^ORCID,Zhang Jiliang⁵^ORCID,Al-Sarawi Said F.¹^ORCID,Abbott Derek¹^ORCID

Affiliation:

1. School of Electrical and Electronic Engineering, University of Adelaide, Australia

2. School of Computer Science and Engineering, Nanjing University of Science and Technology, China

3. Data61, CSIRO, Australia

4. University of Western Australia, Perth, Australia

5. College of Semiconductors (College of Integrated Circuits), Hunan University, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8858/4358699/10113762.pdf?arnumber=10113762

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