21 citations · 24 across the 4 of their papers we have counts for
4 papers
Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
Jiehang Zeng, Xiaoqing Zheng, Jianhan Xu +3
Recently, few certified defense methods have been developed to provably guarantee the robustness of a text classifier to adversarial synonym substitutions. However, all existing ce…
Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks
Liping Yuan, Jiangtao Feng, Xiaoqing Zheng +1
A popular strategy to train recurrent neural networks (RNNs), known as ``teacher forcing'' takes the ground truth as input at each time step and makes the later predictions partly…
SparseGAN: Sparse Generative Adversarial Network for Text Generation
Liping Yuan, Jiehang Zeng, Xiaoqing Zheng
It is still a challenging task to learn a neural text generation model under the framework of generative adversarial networks (GANs) since the entire training process is not differ…
On the Transferability of Adversarial Attacksagainst Neural Text Classifier
Liping Yuan, Xiaoqing Zheng, Yi Zhou +2
Deep neural networks are vulnerable to adversarial attacks, where a small perturbation to an input alters the model prediction. In many cases, malicious inputs intentionally crafte…