2 papers
cs.CR2017
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
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…