3 papers
cs.SE2021
An Empirical Analysis of UI-based Flaky Tests
Alan Romano, Zihe Song, Sampath Grandhi +2
Flaky tests have gained attention from the research community in recent years and with good reason. These tests lead to wasted time and resources, and they reduce the reliability o…
cs.LG2018
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks
Siwakorn Srisakaokul, Yuhao Zhang, Zexuan Zhong +3
Despite being popularly used in many applications, neural network models have been found to be vulnerable to adversarial examples, i.e., carefully crafted examples aiming to mislea…
cs.CL2018
Testing Untestable Neural Machine Translation: An Industrial Case
Wujie Zheng, Wenyu Wang, Dian Liu +6
Neural Machine Translation (NMT) has been widely adopted recently due to its advantages compared with the traditional Statistical Machine Translation (SMT). However, an NMT system…