CORRECTION article

Front. Artif. Intell., 29 August 2025

Sec. Machine Learning

Volume 8 - 2025 | https://doi.org/10.3389/frai.2025.1682908

Correction: Research on the robustness of the open-world test-time training model

  • 1. National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, China

  • 2. Chongqing Changan Automobile Company Limited, Chongqing, China

Affiliation: Chongqing Changan Automobile Company Limited, Chongqing, China was omitted for author Xin Wang. This affiliation has now been added for author Xin Wang.

The original version of this article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

adversarial attacks, testing time poisoning, robustness, open world learning, test-time training/adaptation

Citation

Pi S, Wang X and Pi J (2025) Correction: Research on the robustness of the open-world test-time training model. Front. Artif. Intell. 8:1682908. doi: 10.3389/frai.2025.1682908

Received

09 August 2025

Accepted

15 August 2025

Published

29 August 2025

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

8 - 2025

Updates

Copyright

*Correspondence: Shu Pi

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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