论文标题
Wasserstein生成的对抗网络用于网络测试的网络物理系统
Wasserstein Generative Adversarial Networks for Online Test Generation for Cyber Physical Systems
论文作者
论文摘要
我们提出了一种基于Wasserstein生成对抗网络的新型在线测试算法Wogan。 Wogan是一种通用黑框测试生成器，适用于具有用于确定失败测试的健身功能的任何正在测试的系统。作为概念证明，我们通过生成道路来评估Wogan，以使汽车的车道援助系统无法留在指定的车道上。我们发现我们的算法对先前发表的算法具有竞争性能。
We propose a novel online test generation algorithm WOGAN based on Wasserstein Generative Adversarial Networks. WOGAN is a general-purpose black-box test generator applicable to any system under test having a fitness function for determining failing tests. As a proof of concept, we evaluate WOGAN by generating roads such that a lane assistance system of a car fails to stay on the designated lane. We find that our algorithm has a competitive performance respect to previously published algorithms.
