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Yun Sing Koh

As seen in: Wiley Online Library
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Articles

[2510.13237] Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models

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By Yun Sing, Yun Sing Koh, Zirun Zhou, Shuhuai Huang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Harnessing the Power of Graph Representation in Climate Forecasting: Predicting Global Monthly Mean Sea Surface Temperatures and Anomalies

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By Ding Ning, Karin R. Bryan, Varvara Vetrova, Yun Sing Koh
| Wiley Online Library Verified
1 Introduction Sea surface temperature variability or SST anomalies (SSTAs) are associated with climate oscillations and extreme events, such as the El Niño-Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD) oscillation, and marine heatwaves. SSTAs are the departures from the average SST, evaluated over a certain period.
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