- 1National Center for Applied Mathematics in Chongqing, Chongqing Normal University, Chongqing, China
- 2Chongqing Changan Automobile Company Limited, Chongqing, China
A Correction on
Research on the robustness of the open-world test-time training model
by Pi, S., Wang, X., and Pi, J. (2025). Front. Artif. Intell. 8:1621025. doi: 10.3389/frai.2025.1621025
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.
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.
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, SwitzerlandCopyright © 2025 Pi, Wang and Pi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shu Pi, MjAyMzExMDUxNjA0M0BzdHUuY3FudS5lZHUuY24=