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YunKai Zhao

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Aug 2026

Enhancing adversarial robustness of lightweight neural networks for on-vehicle traffic sign recognition systems

TRADES-JR, a TRADES loss function guided by Jacobian regularization, is proposed, which enables LNNs to maintain robust and high-accuracy traffic sign recognition even in adversarial environments, thereby enhancing the reliability of the autonomous driving system.

YunKai Zhao, Shang Gao, Jieliang Zhao · 0 citations

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