Towards trustworthy dataset distillation

Shijie Ma, Fei Zhu, Zhen Cheng, Xu-Yao Zhang

Abstract: Highlights•We propose a novel paradigm called TrustDD, ensuring both efficiency and trustworthiness.•The proposed POE surpasses SOTA OE even without real outlier data for OOD detection.•Experiments show TrustDD improves OOD detection without the loss of InD classification.