400 citations · 597 across the 2 of their papers we have counts for
2 papers
cs.CR2017★ 197 cited
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang, Hongcheng Li, Miaoqiang Su +3
Recently, many studies have demonstrated deep neural network (DNN) classifiers can be fooled by the adversarial example, which is crafted via introducing some perturbations into an…
cs.CR2017★ 400 cited
Deep Text Classification Can be Fooled
Bin Liang, Hongcheng Li, Miaoqiang Su +3
In this paper, we present an effective method to craft text adversarial samples, revealing one important yet underestimated fact that DNN-based text classifiers are also prone to a…