Joost-Pieter Katoen
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126
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Crypto×1ML×1
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2026
Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment
This paper enhances the adversarial robustness of a CNN used for time-series classification in crystal-collimator alignment by developing a differentiable wrapper and employing adversarial fine-tuning, improving robust accuracy by up to 18.6%.
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