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20192024
most citedProbabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection

37 citations · 46 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.CV2022★ 1 cited

FRE: A Fast Method For Anomaly Detection And Segmentation

Ibrahima Ndiour, Nilesh Ahuja, Utku Genc +1

This paper presents a fast and principled approach for solving the visual anomaly detection and segmentation problem. In this setup, we have access to only anomaly-free training da…

cs.LG2022

Subspace Modeling for Fast Out-Of-Distribution and Anomaly Detection

Ibrahima J. Ndiour, Nilesh A. Ahuja, Omesh Tickoo

This paper presents a fast, principled approach for detecting anomalous and out-of-distribution (OOD) samples in deep neural networks (DNN). We propose the application of linear st…