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Home Model Robustness

New Study Mathematically Defines Key Conditions for Improving AI Model Robustness through Data Augmentation

This work has been accepted for presentation at the AAAI-26—one of the most prestigious international conferences in the field of AI.

New Study Mathematically Defines Key Conditions for Improving AI Model Robustness through Data Augmentation

Abstract Model robustness indicates a model’s capability to generalize well on unforeseen distributional shifts, including data corruptions and adversarial attacks. Data augmentation is one of the most prevalent and effective ways to... Read More

Jan 29, 2026 By JooHyeon Heo Research
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