Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks

Author:

Qi Xiangyu1,Xie Tinghao1,Pan Ruizhe2,Zhu Jifeng3,Yang Yong3,Bu Kai2

Affiliation:

1. Princeton University

2. Zhejiang University

3. Tencent

Publisher

IEEE

Reference80 articles.

1. Backdoor Attacks Against Deep Learning Systems in the Physical World

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3. Neural cleanse: Identifying and mitigating backdoor attacks in neu-ral networks;wang;2019 IEEE Symposium on Security and Privacy (SP),0

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5. Detecting ai trojans using meta neural analysis;xu;ArXiv Preprint,2019

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1. Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network;IEEE Transactions on Information Forensics and Security;2024

2. Moiré Backdoor Attack (MBA): A Novel Trigger for Pedestrian Detectors in the Physical World;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. The Impact of Attacking Windows Using a Backdoor Trojan;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

4. Single Image Backdoor Inversion via Robust Smoothed Classifiers;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. Automated Segmentation to Make Hidden Trigger Backdoor Attacks Robust against Deep Neural Networks;Applied Sciences;2023-04-05

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