# WOGAN at the SBST 2022 CPS Tool Competition

arXiv: https://arxiv.org/abs/2205.11064 · HTML: https://mlsanity.com/paper/2205.11064/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 4 references that are in the map.
- First posted on arXiv 23 May 2022.

## Built on by (most cited first, 2 of 2)

- [Requirement falsification for cyber-physical systems using generative models](https://mlsanity.com/paper/2310.20493/) (2023)
- [Learning test generators for cyber-physical systems](https://mlsanity.com/paper/2410.03202/) (2024)

## Abstract (arXiv)

WOGAN is an online test generation algorithm based on Wasserstein generative adversarial networks. In this note, we present how WOGAN works and summarize its performance in the SBST 2022 CPS tool competition concerning the AI of a self-driving car.