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2025 ICML ICML 2025

When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Ziming Hong, Runnan Chen, Zengmao Wang, Bo Han, Bo Du, Tongliang Liu

Topics

Artificial Intelligence > Core AI > AI Safety Machine Learning > Learning Types > Transfer Learning Deep Learning > Learning Types > Adversarial Learning

Keywords

adversarial robustness knowledge distillation synthetic sample forgetting ood knowledge non-transferable teacher out-of-distribution trap
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