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Neural network (NN) trojaning attack is an emerging and important attack model that can broadly damage the system deployed with NN models.
Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L., Li, K., and Li, F · 2009
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., and Hinton, G. E · 2012
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Distributed representations of words and phrases and their compositionality
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., and Dean, J · 2013
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Very deep convolutional networks for large-scale image recognition
Simonyan, K. and Zisserman, A · 2014
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., and Chintala, S · 2015
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Going deeper with convolutions
Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S. E., Anguelov, D., Erhan, D., Vanhoucke, V., and Rabinovich, A · 2015
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
Cited alongside, same era.
Adversarial examples in the physical world
Kurakin, A., Goodfellow, I. J., and Bengio, S · 2016
Cited alongside, same era.
Badnets: Identifying vulnerabilities in the machine learning model supply chain
Gu, T., Dolan-Gavitt, B., and Garg, S · 2017
Cited alongside, same era.
Neural trojans
Liu, Y., Xie, Y., and Srivastava, A · 2017
Cited alongside, same era.
Detecting backdoor attacks on deep neural networks by activation clustering
Chen, B., Carvalho, W., Baracaldo, N., Ludwig, H., Edwards, B., Lee, T., Molloy, I., and Srivastava, B · 2018
Cited alongside, same era.
Backdooring convolutional neural networks via targeted weight perturbations
Dumford, J. and Scheirer, W. J · 2018
Later among the works it cites.
Backdoor embedding in convolutional neural network models via invisible perturbation
Liao, C., Zhong, H., Squicciarini, A. C., Zhu, S., and Miller, D. J · 2018
Later among the works it cites.
Trojaning attack on neural networks
Liu, Y., Ma, S., Aafer, Y., Lee, W., Zhai, J., Wang, W., and Zhang, X · 2018
Later among the works it cites.
Mobilenetv2: Inverted residuals and linear bottlenecks
Sandler, M., Howard, A. G., Zhu, M., Zhmoginov, A., and Chen, L · 2018
Later among the works it cites.
Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
Wang, B., Yao, Y., Shan, S., Li, H., Viswanath, B., Zheng, H., and Zhao, B. Y · 2019
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Devlin, J., Chang, M., Lee, K., and Toutanova, K · 2018
Cited alongside, same era.
Fine-pruning: Defending against backdooring attacks on deep neural networks
Liu, K., Dolan-Gavitt, B., and Garg, S
Cited in the paper.