PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification

Author:

Yuan Yizhen1ORCID,Kong Rui2ORCID,Xie Shenghao3ORCID,Li Yuanchun4ORCID,Liu Yunxin4ORCID

Affiliation:

1. Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China

2. Shanghai Jiao Tong University, Shanghai, China

3. Wuhan University, Wuhan, China

4. Institute for AI Industry Research (AIR), Tsinghua University & Shanghai AI Laboratory, Beijing, China

Funder

The National Natural Science Foundation of China

Publisher

ACM

Reference47 articles.

1. S Ajakwe , R Arkter , D Kim , D Kim , and JM Lee . 2021 . Lightweight cnn model for detection of unauthorized uav in military reconnaissance operations . In Proceedings of the 2021 Korean Institute of Communication and Sciences Fall Conference , Yeosu, Korea. 17--19. S Ajakwe, R Arkter, D Kim, D Kim, and JM Lee. 2021. Lightweight cnn model for detection of unauthorized uav in military reconnaissance operations. In Proceedings of the 2021 Korean Institute of Communication and Sciences Fall Conference, Yeosu, Korea. 17--19.

2. Tom B Brown , Dandelion Mané , Aurko Roy , Martín Abadi , and Justin Gilmer . 2017. Adversarial patch. arXiv preprint arXiv:1712.09665 ( 2017 ). Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer. 2017. Adversarial patch. arXiv preprint arXiv:1712.09665 (2017).

3. Bryant Chen , Wilka Carvalho , Nathalie Baracaldo , Heiko Ludwig , Benjamin Edwards , Taesung Lee , Ian Molloy , and Biplav Srivastava . 2018. Detecting backdoor attacks on deep neural networks by activation clustering. arXiv preprint arXiv:1811.03728 ( 2018 ). Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy, and Biplav Srivastava. 2018. Detecting backdoor attacks on deep neural networks by activation clustering. arXiv preprint arXiv:1811.03728 (2018).

4. AdversarialQR: An adversarial patch in QR code format

5. LIRA: Learnable, Imperceptible and Robust Backdoor Attacks

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