arXiv Machine Learning July 15, 2026 By Kun Fang, Zuopeng Yang, Haibo Hu, Xiaolin Huang, Jie Yang, Qinghua Tao

Beyond Perceptual Distance: Discrepancy Assessment on Deep Representation for Out-of-Distribution Detection with Diffusion Model

Read the original on arXiv Machine Learning →

arXiv:2409. 10094v3 Announce Type: replace-cross Abstract: Out-of-Distribution (OoD) detection aims to justify whether a given sample is from the training distribution of the classifier-under-protection, i.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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safety

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