Ning Miao

Generating Fluent Adversarial Examples for Natural Languages

2019

Efficiently building an adversarial attacker for natural language processing (NLP) tasks is a real challenge. Firstly, as the sentence space is discrete, it is difficult to make small perturbations along the direction of gradients. Secondly, …

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

In real-world applications of natural language generation, there are often constraints on the target sentences in addition to fluency and naturalness requirements. Existing language generation techniques are usually based on recurrent neural networks (RNNs). However, …