Yufan Chen

EPA: Neural Collapse Inspired Robust Out-of-distribution Detector

2024

Out-of-distribution (OOD) detection plays a crucial role in ensuring the security of neural networks. Existing works have leveraged the fact that In-distribution (ID) samples form a subspace in the feature space, achieving state-of-the-art (SOTA) performance. …