PTB: Robust physical backdoor attacks against deep neural networks in real world-Reference-Cited by-同舟云学术

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PTB: Robust physical backdoor attacks against deep neural networks in real world

Published:2022-07 Issue: Volume:118 Page:102726
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Xue Mingfu^ORCID,He Can,Wu Yinghao,Sun Shichang,Zhang Yushu,Wang Jian,Liu Weiqiang

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference48 articles.

1. Consumer-facing technology fraud: economics, attack methods and potential solutions;Ali;Future Gener. Comput. Syst.,2019

2. Synthesizing robust adversarial examples;Athalye,2018

3. Blind backdoors in deep learning models;Bagdasaryan,2021

4. How to backdoor federated learning;Bagdasaryan,2020

5. End to end learning for self-driving cars;Bojarski;arXiv:1604.07316,2016

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2. A Comprehensive Survey on Backdoor Attacks and Their Defenses in Face Recognition Systems;IEEE Access;2024

3. Untargeted Backdoor Attack Against Deep Neural Networks With Imperceptible Trigger;IEEE Transactions on Industrial Informatics;2024

4. Stealthy Backdoor Attacks On Deep Point Cloud Recognization Networks;The Computer Journal;2023-12-07

5. Image-Synthesis-Based Backdoor Attack Approach for Face Classification Task;Electronics;2023-11-03

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