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cs.LG2019★ 11 cited
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Pengcheng Li, Jinfeng Yi, Bowen Zhou +1
Recent studies have highlighted that deep neural networks (DNNs) are vulnerable to adversarial examples. In this paper, we improve the robustness of DNNs by utilizing techniques of…
cs.LG2018★ 9 cited
Query-Efficient Black-Box Attack by Active Learning
Pengcheng Li, Jinfeng Yi, Lijun Zhang
Deep neural network (DNN) as a popular machine learning model is found to be vulnerable to adversarial attack. This attack constructs adversarial examples by adding small perturbat…