Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
收藏DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/231e5909-f440-4fb8-bfbd-bc42c450bf6b
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资源简介：
Randomized neural networks are vulnerable to adversarial attacks. We investigate the effect of proxy-gradient-based attacks on randomized neural networks and propose a regularization method to improve their robustness.
提供机构：
TIB
创建时间：
2024-12-16
