Defending Against Adversarial Examples via Soft Decision Trees Embedding

Yingying Hua
Yingying Hua
Xindi Gao
Xindi Gao
Xin Jin
Xin Jin

Proceedings of the 27th ACM International Conference on Multimedia, pp. 2106-2114, 2019.

Cited by: 1|Views32
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Abstract:

Convolutional neural networks (CNNs) have shown vulnerable to adversarial examples which contain imperceptible perturbations. In this paper, we propose an approach to defend against adversarial examples with soft decision trees embedding. Firstly, we extract the semantic features of adversarial examples with a feature extraction network. ...More

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