Anti-Backdoor Model: A Novel Algorithm to Remove Backdoors in a Non-Invasive Way-Reference-Cited by-同舟云学术

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Anti-Backdoor Model: A Novel Algorithm to Remove Backdoors in a Non-Invasive Way

Published:2024 Issue: Volume:19 Page:7420-7434
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Chen Chen¹,Hong Haibo¹^ORCID,Xiang Tao²^ORCID,Xie Mande³

Affiliation:

1. School of Computer Science and Technology, Zhejiang Gongshang University, Hangzhou, China

2. School of Computer Science, Chongqing University, Chongqing, China

3. School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10620313.pdf?arnumber=10620313

Reference49 articles.

1. ImageNet classification with deep convolutional neural networks;Krizhevsky

2. Deep Residual Learning for Image Recognition

3. Image Classification With Small Datasets: Overview and Benchmark

4. A study on the challenges and opportunities of speech recognition for Bengali language

5. Robust speech recognition for low-resource languages;Romanenko,2022

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