CORRECTION article
Front. Artif. Intell.
Sec. Machine Learning and Artificial Intelligence
Volume 8 - 2025 | doi: 10.3389/frai.2025.1682908
Research on the robustness of the open-world test-time training model
Provisionally accepted
- 1Chongqing Normal University, Chongqing, China
- 2Chongqing Changan Automobile Company Limited, Chongqing, China, Chongqing, China
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Keywords: adversarial attacks, testing time poisoning, robustness, open world learning, Test-time training/adaptation
Received: 09 Aug 2025; Accepted: 15 Aug 2025.
Copyright: © 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) or licensor 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, Chongqing Normal University, Chongqing, China
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