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Out-Of-Distribution Detection Is Not All You Need

29 November 2022

Papers citing "Out-Of-Distribution Detection Is Not All You Need"

24 / 24 papers shown

Title
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 388 0 0 03 Oct 2024
Unifying Evaluation of Machine Learning Safety Monitors Joris Guérin Raul Sena Ferreira Kevin Delmas Jérémie Guiochet 70 13 0 31 Aug 2022
ViM: Out-Of-Distribution with Virtual-logit Matching Haoqi Wang Zhizhong Li Xue Jiang Wayne Zhang OODD 94 340 0 21 Mar 2022
Evaluation of Runtime Monitoring for UAV Emergency Landing Joris Guérin Kevin Delmas Jérémie Guiochet 58 13 0 07 Feb 2022
AugLy: Data Augmentations for Robustness Zoe Papakipos Joanna Bitton AAML 61 53 0 17 Jan 2022
ReAct: Out-of-distribution Detection With Rectified Activations Yiyou Sun Chuan Guo Yixuan Li OODD 115 485 0 24 Nov 2021
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 129 104 0 18 Oct 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning Raul Sena Ferreira J. Arlat Jérémie Guiochet H. Waeselynck 85 26 0 04 Oct 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 273 1,374 0 08 Oct 2020
Robust Detection of Objects under Periodic Motion with Gaussian Process Filtering Joris Guérin A. Canuto L. Gonçalves 51 7 0 29 Sep 2020
Torchattacks: A PyTorch Repository for Adversarial Attacks Hoki Kim 71 207 0 24 Sep 2020
Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems Y. Kantaros Taylor J. Carpenter Kaustubh Sridhar Yahan Yang Insup Lee James Weimer AAML 42 13 0 23 Feb 2020
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 177 75 0 28 Jan 2020
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 79 59 0 20 Nov 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 194 3,455 0 28 Mar 2019
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing Jingyi Wang Guoliang Dong Jun Sun Xinyu Wang Peixin Zhang AAML 48 191 0 14 Dec 2018
Runtime Monitoring Neuron Activation Patterns Chih-Hong Cheng Georg Nührenberg Hirotoshi Yasuoka 61 75 0 18 Sep 2018
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks Kimin Lee Kibok Lee Honglak Lee Jinwoo Shin OODD 192 2,063 0 10 Jul 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 202 9,479 0 09 Feb 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,871 0 14 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 171 2,082 0 08 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 176 3,480 0 07 Oct 2016
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 112 2,346 0 10 Jun 2015
One-Class Classification: Taxonomy of Study and Review of Techniques Shehroz S. Khan Michael G. Madden 90 569 0 30 Nov 2013