{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:24:28Z","timestamp":1774419868563,"version":"3.50.1"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10888258","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:02Z","timestamp":1741799702000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Out-of-Distribution Detectors: Not Yet Primed for Practical Deployment"],"prefix":"10.1109","author":[{"given":"Changshun","family":"Wu","sequence":"first","affiliation":[{"name":"Universit&#x00E9; Grenoble Alpes,Grenoble,France"}]},{"given":"Wendi","family":"Ding","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; Grenoble Alpes,Grenoble,France"}]},{"given":"Xiaowei","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Liverpool,Liverpool,UK"}]},{"given":"Saddek","family":"Bensalem","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; Grenoble Alpes,Grenoble,France"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Detecting out-of-distribution inputs to deep generative models using typicality","author":"Nalisnick","year":"2019"},{"key":"ref2","first-page":"7383","article-title":"Out-of-distribution detection with an adaptive likelihood ratio on informative hierarchical vae","volume":"35","author":"Li","year":"2022","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref3","article-title":"A simple unified framework for detecting out-of-distribution samples and adversarial attacks","volume":"31","author":"Lee","year":"2018","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44267-4_2"},{"key":"ref5","article-title":"Enhancing the reliability of out-of-distribution image detection in neural networks","volume-title":"International Conference on Learning Representations (ICLR)","author":"Liang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01096"},{"key":"ref7","first-page":"677","article-title":"On the importance of gradients for detecting distributional shifts in the wild","volume":"34","author":"Huang","year":"2021","journal-title":"Advances in Neural Information Processing Systems (NeurIPS)"},{"key":"ref8","article-title":"Robust out-of-distribution detection for neural networks","author":"Chen","year":"2021","journal-title":"The AAAI-22 Workshop on Adversarial Machine Learning and Beyond"},{"key":"ref9","first-page":"2078","article-title":"Why out-of-distribution detection experiments are not reliable-subtle experimental details muddle the ood detector rankings","volume-title":"Uncertainty in Artificial Intelligence (UAI).","author":"Szyc","year":"2023"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/APSEC51365.2020.00035"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26409-2_10"},{"key":"ref12","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2012","journal-title":"University of Toronto"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.461"},{"key":"ref15","article-title":"Google street view house numbers digit localization","author":"Dhall","year":"2015"},{"key":"ref16","article-title":"Lsun: Construction of a large-scale image dataset using deep learning with humans in the loop","author":"Yu","year":"2016"},{"key":"ref17","article-title":"Turkergaze: Crowdsourcing saliency with webcam based eye tracking","author":"Xu","year":"2015"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2723009"},{"key":"ref19","first-page":"2471","article-title":"In or out? fixing imagenet out-of-distribution detection evaluation","volume-title":"ICLR 2023 Workshop on Trustworthy and Reliable Large-Scale Machine Learning Models","author":"Bitterwolf"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5539970"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","article-title":"Ensemble adversarial training: Attacks and defenses","volume-title":"International Conference on Learning Representations (ICLR)","author":"Tram\u00e8r"},{"key":"ref24","article-title":"Perceptual adversarial robustness: Defense against unseen threat models","volume-title":"International Conference on Learning Representations (ICLR)","author":"Laidlaw"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10888258.pdf?arnumber=10888258","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:25:09Z","timestamp":1774416309000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10888258\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10888258","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}