4 citations · 4 across the 2 of their papers we have counts for
4 papers
Grey-box Adversarial Attack And Defence For Sentiment Classification
Ying Xu, Xu Zhong, Antonio Jimeno Yepes +1
We introduce a grey-box adversarial attack and defence framework for sentiment classification. We address the issues of differentiability, label preservation and input reconstructi…
Understanding in Artificial Intelligence
Stefan Maetschke, David Martinez Iraola, Pieter Barnard +4
Current Artificial Intelligence (AI) methods, most based on deep learning, have facilitated progress in several fields, including computer vision and natural language understanding…
Elephant in the Room: An Evaluation Framework for Assessing Adversarial Examples in NLP
Ying Xu, Xu Zhong, Antonio Jose Jimeno Yepes +1
An adversarial example is an input transformed by small perturbations that machine learning models consistently misclassify. While there are a number of methods proposed to generat…
Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension
Y. Xu, X. Zhong, A. J. J. Yepes +1
The creation of large-scale open domain reading comprehension data sets in recent years has enabled the development of end-to-end neural comprehension models with promising results…