2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CL2021
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…
cs.CL2021★ 2 cited
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…
cs.LG2020
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…