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Cited by 536Adversarial Robustness in Machine LearningDigital Media Forensic DetectionSecurity and Verification in Computing

The DOI matches its Crossref record; 50 of the 59 references it cites were found in a registry or an index.

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Open access
Liu, Yunfei, Ma, Xingjun, Bailey, James, Lu, Feng·2020·Lecture Notes in Computer Science
DOI 10.1007/978-3-030-58607-2_11
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Crossref · 10.1007/978-3-030-58607-2_11

Cites

50 of 50 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 59 references

Research works printed but not linked: 16

  1. Biggio, B., Nelson, B., Laskov, P.: Poisoning attacks against support vector machines. arXiv preprint arXiv:1206.6389 (2012) · arXiv
  2. Chen, X., Liu, C., Li, B., Lu, K., Song, D.: Targeted backdoor attacks on deep learning systems using data poisoning. arXiv preprint arXiv:1712.05526 (2017) · arXiv
  3. Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results. http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html
  4. Evtimov, I., et al.: Robust physical-world attacks on deep learning models. In: CVPR (2018)
  5. Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014) · arXiv
  6. Gu, T., Dolan-Gavitt, B., Garg, S.: Badnets: Identifying vulnerabilities in the machine learning model supply chain. arXiv preprint arXiv:1708.06733 (2017) · arXiv
  7. Guo, C., Rana, M., Cisse, M., Van Der Maaten, L.: Countering adversarial images using input transformations. arXiv preprint arXiv:1711.00117 (2017) · arXiv
  8. Hendrycks, D., Zhao, K., Basart, S., Steinhardt, J., Song, D.: Natural adversarial examples. arXiv preprint arXiv:1907.07174 (2019) · arXiv
  9. Li, S., Zhao, B.Z.H., Yu, J., Xue, M., Kaafar, D., Zhu, H.: Invisible backdoor attacks against deep neural networks. arXiv preprint arXiv:1909.02742 (2019) · arXiv
  10. Li, Y., Zhai, T., Wu, B., Jiang, Y., Li, Z., Xia, S.: Rethinking the trigger of backdoor attack. arXiv preprint arXiv:2004.04692 (2020) · arXiv
  11. Liao, C., Zhong, H., Squicciarini, A., Zhu, S., Miller, D.: Backdoor embedding in convolutional neural network models via invisible perturbation. arXiv preprint arXiv:1808.10307 (2018) · arXiv
  12. Liu, Y., Li, Y., You, S., Lu, F.: Semantic guided single image reflection removal. arXiv preprint arXiv:1907.11912 (2019) · arXiv
  13. Sun, Z., Kairouz, P., Suresh, A.T., McMahan, H.B.: Can you really backdoor federated learning? arXiv preprint arXiv:1911.07963 (2019) · arXiv
  14. Szegedy, C., et al.: Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199 (2013) · arXiv
  15. Yao, Y., Li, H., Zheng, H., Zhao, B.Y.: Latent backdoor attacks on deep neural networks. In: ACM CCS, pp. 2041–2055 (2019) · DOI
  16. Zhang, H., Cisse, M., Dauphin, Y.N., Lopez-Paz, D.: mixup: Beyond empirical risk minimization. arXiv preprint arXiv:1710.09412 (2017) · arXiv

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Metadata

Authors
Liu, Y., Ma, X., Bailey, J., & Lu, F.
Affiliations
  • State Key Laboratory of Virtual Reality Technology and Systems (CN)
  • Deakin University (AU)
  • The University of Melbourne (AU)
  • Peng Cheng Laboratory (CN)
Corresponding author
Lu, Feng
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2020
Pages
182-199
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-030-58607-2_11
OpenAlex
W3107337211
Cited by
531
References
59
Citations by year
2026: 56 · 2025: 116 · 2024: 128 · 2023: 102 · 2022: 74 · 2021: 47 · 2020: 8
FWCI
22.06
Type
conference paper
Language
en
Open access
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • arXiv (Cornell University)
Funders
National Natural Science Foundation of China (61972012)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Physical Sciences › Computer Science › Hardware and Architecture › Security and Verification in Computing
Keywords
backdoor attacks, deep neural network, stealthy attacks, backdoor defense, adversarial learning, computer vision

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