{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T18:13:47Z","timestamp":1755800027563,"version":"3.44.0"},"reference-count":35,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:00:00Z","timestamp":1751846400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T00:00:00Z","timestamp":1751846400000},"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":[[2025,7,7]]},"DOI":"10.1109\/iolts65288.2025.11116825","type":"proceedings-article","created":{"date-parts":[[2025,8,19]],"date-time":"2025-08-19T18:07:28Z","timestamp":1755626848000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Lightweight Concurrent Out-of-Distribution Detection in Hyperdimensional Computing Hardware"],"prefix":"10.1109","author":[{"given":"Mahboobe Sadeghipour","family":"Roodsari","sequence":"first","affiliation":[{"name":"Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vincent","family":"Meyers","sequence":"additional","affiliation":[{"name":"Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehdi","family":"Tahoori","sequence":"additional","affiliation":[{"name":"Karlsruhe Institute of Technology (KIT),Karlsruhe,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1145\/3566097.3568355","article-title":"Robust hyperdimensional computing against cyber attacks and hardware errors: A survey","volume-title":"Proceedings of the 28th Asia and South Pacific Design Automation Conference","author":"Ma","year":"2023"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1109\/IEDM.2016.7838428"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1007\/s12559-009-9009-8"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/JETCAS.2019.2935464"},{"key":"ref5","article-title":"Concrete problems in ai safety","author":"Amodei","year":"2016","journal-title":"arXiv preprint"},{"volume-title":"Incident number 321,\u201d AI Incident Database","year":"2018","article-title":"[Online]","key":"ref6"},{"key":"ref7","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","author":"Hendrycks","year":"2016","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1038\/s42256-021-00307-0"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.23919\/DATE58400.2024.10546523"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.23919\/DATE51398.2021.9474107"},{"key":"ref11","article-title":"HDCC: A hyperdimensional computing compiler for classification on embedded systems and high-performance computing","author":"Verges","year":"2023","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/ISQED57927.2023.10129332"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.23919\/DATE51398.2021.9473920"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/ICRC.2017.8123650"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1145\/3316781.3317785","article-title":"Bric: Locality-based encoding for energy-efficient brain-inspired hyperdimensional computing","volume-title":"Proceedings of the 56th Annual Design Automation Conference","author":"Imani","year":"2019"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1145\/2934583.2934624"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1109\/FPL60245.2023.00057"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/DAC56929.2023.10247876"},{"key":"ref19","article-title":"Enhancing the reliability of out-of-distribution image detection in neural networks","author":"Liang","year":"2017","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1007\/s11263-024-02117-4"},{"key":"ref21","article-title":"Scaling out-of-distribution detection for real-world settings","author":"Hendrycks","year":"2019","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/ICCV48922.2021.00508"},{"key":"ref23","article-title":"Energy-based out-of-distribution detection","author":"Liu","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref24","first-page":"20827","article-title":"Out-of-distribution detection with deep nearest neighbors","volume-title":"International Conference on Machine Learning. PMLR","author":"Sun","year":"2022"},{"key":"ref25","article-title":"Learning confidence for out-of-distribution detection in neural networks","author":"DeVries","year":"2018","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.48550\/arXiv.1506.02142"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1109\/WACV56688.2023.00267"},{"key":"ref28","article-title":"Efficient model adaptation for continual learning at the edge","author":"Daniels","year":"2023","journal-title":"arXiv preprint"},{"issue":"255","key":"ref29","first-page":"1","article-title":"Torchhd: An open source python library to support research on hyperdimensional computing and vector symbolic architectures","volume":"24","author":"Heddes","year":"2023","journal-title":"Journal of Machine Learning Research"},{"year":"2017","author":"Xiao","journal-title":"Fashion-mnist: a novel image dataset for bench-marking machine learning algorithms","key":"ref30"},{"key":"ref31","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009","journal-title":"University of Toronto, Canada"},{"doi-asserted-by":"publisher","key":"ref32","DOI":"10.1038\/s41597-022-01721-8"},{"key":"ref33","article-title":"Mnist-c: A robustness benchmark for computer vision","author":"Mu","year":"2019","journal-title":"arXiv preprint"},{"doi-asserted-by":"publisher","key":"ref34","DOI":"10.1109\/ICRC60800.2023.10386671"},{"key":"ref35","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009","journal-title":"Tech. Rep."}],"event":{"name":"2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)","start":{"date-parts":[[2025,7,7]]},"location":"Ischia, Italy","end":{"date-parts":[[2025,7,9]]}},"container-title":["2025 IEEE 31st International Symposium on On-Line Testing and Robust System Design (IOLTS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11115077\/11116814\/11116825.pdf?arnumber=11116825","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T06:20:24Z","timestamp":1755670824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11116825\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,7]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/iolts65288.2025.11116825","relation":{},"subject":[],"published":{"date-parts":[[2025,7,7]]}}}