Backdoor Defense via Deconfounded Representation Learning-Reference-Cited by-同舟云学术

Backdoor Defense via Deconfounded Representation Learning

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Zhang Zaixi¹,Liu Qi¹,Wang Zhicai²,Lu Zepu²,Hu Qingyong³

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China,Anhui Province Key Lab of Big Data Analysis and Application

2. University of Science and Technology of China

3. Hong Kong University of Science and Technology

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204451.pdf?arnumber=10204451

Reference82 articles.

1. Robust anomaly detection and backdoor attack detection via differential privacy;du;ICLRE,2020

2. Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

3. Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

4. Backdoor scanning for deep neural networks through k-arm optimization;shen;ICML,2021

5. STRIP

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