{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T17:54:51Z","timestamp":1775325291358,"version":"3.50.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031442667","type":"print"},{"value":"9783031442674","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-44267-4_2","type":"book-chapter","created":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:03:27Z","timestamp":1696118607000},"page":"23-41","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Customizable Reference Runtime Monitoring of\u00a0Neural Networks Using Resolution Boxes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8293-2888","authenticated-orcid":false,"given":"Changshun","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0114-0641","authenticated-orcid":false,"given":"Yli\u00e8s","family":"Falcone","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5753-2126","authenticated-orcid":false,"given":"Saddek","family":"Bensalem","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,10,1]]},"reference":[{"key":"2_CR1","doi-asserted-by":"crossref","unstructured":"Chalapathy, R., Chawla, S.: Deep learning for anomaly detection: a survey. arXiv preprint arXiv:1901.03407 (2019)","DOI":"10.1145\/3394486.3406704"},{"issue":"3","key":"2_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. (CSUR) 41(3), 1\u201358 (2009)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Cheng, C.H.: Provably-robust runtime monitoring of neuron activation patterns. arXiv preprint arXiv:2011.11959 (2020)","DOI":"10.23919\/DATE51398.2021.9473957"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Cheng, C.H., N\u00fchrenberg, G., Yasuoka, H.: Runtime monitoring neuron activation patterns (2019)","DOI":"10.23919\/DATE.2019.8714971"},{"key":"2_CR5","volume-title":"Polyhedra","author":"PR Cromwell","year":"1997","unstructured":"Cromwell, P.R.: Polyhedra. Cambridge University Press, Cambridge (1997)"},{"key":"2_CR6","unstructured":"Hendrycks, D., Gimpel, K.: A baseline for detecting misclassified and out-of-distribution examples in neural networks. arXiv preprint arXiv:1610.02136 (2016)"},{"key":"2_CR7","unstructured":"Henzinger, T.A., Lukina, A., Schilling, C.: Outside the box: abstraction-based monitoring of neural networks. In: ECAI 2020, pp. 2433\u20132440. IOS Press (2020)"},{"issue":"2","key":"2_CR8","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1023\/B:AIRE.0000045502.10941.a9","volume":"22","author":"V Hodge","year":"2004","unstructured":"Hodge, V., Austin, J.: A survey of outlier detection methodologies. Artif. Intell. Rev. 22(2), 85\u2013126 (2004)","journal-title":"Artif. Intell. Rev."},{"key":"2_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100270","volume":"37","author":"X Huang","year":"2020","unstructured":"Huang, X., et al.: A survey of safety and trustworthiness of deep neural networks: verification, testing, adversarial attack and defence, and interpretability. Comput. Sci. Rev. 37, 100270 (2020)","journal-title":"Comput. Sci. Rev."},{"key":"2_CR10","unstructured":"Intelligence, F.C.F.A.: Research challenge ii: Dependability, finnish center for artificial intelligence (2018)"},{"key":"2_CR11","unstructured":"Krizhevsky, A., Hinton, G., et al.: Learning multiple layers of features from tiny images (2009)"},{"issue":"11","key":"2_CR12","doi-asserted-by":"publisher","first-page":"2278","DOI":"10.1109\/5.726791","volume":"86","author":"Y LeCun","year":"1998","unstructured":"LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","journal-title":"Proc. IEEE"},{"issue":"2","key":"2_CR13","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in pcm. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theory"},{"key":"2_CR14","unstructured":"Lukina, A., Schilling, C., Henzinger, T.A.: Into the unknown: active monitoring of neural networks. arXiv preprint arXiv:2009.06429 (2020)"},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1090\/S0002-9947-1971-0279689-2","volume":"159","author":"P McMullen","year":"1971","unstructured":"McMullen, P.: On zonotopes. Trans. Am. Math. Soc. 159, 91\u2013109 (1971)","journal-title":"Trans. Am. Math. Soc."},{"issue":"1","key":"2_CR16","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1002\/widm.53","volume":"2","author":"F Murtagh","year":"2012","unstructured":"Murtagh, F., Contreras, P.: Algorithms for hierarchical clustering: an overview. Wiley Interdisc. Rev. Data Min. Knowl. Disc. 2(1), 86\u201397 (2012)","journal-title":"Wiley Interdisc. Rev. Data Min. Knowl. Disc."},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Pei, K., Cao, Y., Yang, J., Jana, S.: Deepxplore: automated whitebox testing of deep learning systems (2017)","DOI":"10.1145\/3132747.3132785"},{"issue":"3","key":"2_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3068335","volume":"42","author":"E Schubert","year":"2017","unstructured":"Schubert, E., Sander, J., Ester, M., Kriegel, H.P., Xu, X.: DBSCAN revisited, revisited: why and how you should (still) use DBSCAN. ACM Trans. Database Syst. (TODS) 42(3), 1\u201321 (2017)","journal-title":"ACM Trans. Database Syst. (TODS)"},{"key":"2_CR19","unstructured":"Sculley, D., et al.: Hidden technical debt in machine learning systems (2015)"},{"key":"2_CR20","unstructured":"Seshia, S.A., Sadigh, D.: Towards verified artificial intelligence. CoRR arXiv:1606.08514 (2016)"},{"key":"2_CR21","unstructured":"Sun, Y., Huang, X., Kroening, D., Sharp, J., Hill, M., Ashmore, R.: Testing deep neural networks. arXiv preprint arXiv:1803.04792 (2018)"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Tian, Y., Pei, K., Jana, S., Ray, B.: Deeptest: automated testing of deep-neural-network-driven autonomous cars (2018)","DOI":"10.1145\/3180155.3180220"},{"key":"2_CR23","doi-asserted-by":"crossref","unstructured":"Wicker, M., Huang, X., Kwiatkowska, M.: Feature-guided black-box safety testing of deep neural networks (2018)","DOI":"10.1007\/978-3-319-89960-2_22"},{"key":"2_CR24","unstructured":"Wu, C., Falcone, Y., Bensalem, S.: Customizable reference runtime monitoring of neural networks using resolution boxes. CoRR abs\/2104.14435 (2021). https:\/\/arxiv.org\/abs\/2104.14435v2"},{"key":"2_CR25","unstructured":"Xiao, H., Rasul, K., Vollgraf, R.: Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)"}],"container-title":["Lecture Notes in Computer Science","Runtime Verification"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-44267-4_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:13:20Z","timestamp":1696119200000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-44267-4_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031442667","9783031442674"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-44267-4_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"1 October 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"RV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Runtime Verification","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thessaloniki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"rv2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/rv23.csd.auth.gr","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,15","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The proceedings includes also 4 Tutorial Papers and  2 Invited Papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}