{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T04:50:00Z","timestamp":1743137400132,"version":"3.40.3"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031705458"},{"type":"electronic","value":"9783031705465"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-70546-5_6","type":"book-chapter","created":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:02:47Z","timestamp":1725944567000},"page":"90-102","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Machine Unlearning for\u00a0Document Classification"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1962-3916","authenticated-orcid":false,"given":"Lei","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0100-9392","authenticated-orcid":false,"given":"Mohamed Ali","family":"Souibgui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4099-6511","authenticated-orcid":false,"given":"Fei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1408-9803","authenticated-orcid":false,"given":"Lluis","family":"Gomez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0368-9697","authenticated-orcid":false,"given":"Ernest","family":"Valveny","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8762-4454","authenticated-orcid":false,"given":"Dimosthenis","family":"Karatzas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,11]]},"reference":[{"key":"6_CR1","unstructured":"Adhikari, A., Ram, A., Tang, R., Lin, J.: Docbert: bert for document classification. arXiv preprint arXiv:1904.08398 (2019)"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Afzal, M.Z., et al.: Deepdocclassifier: document classification with deep convolutional neural network. In: 2015 13th international conference on document analysis and recognition (ICDAR), pp. 1111\u20131115. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333933"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Bakkali, S., Ming, Z., Coustaty, M., Rusi\u00f1ol, M.: Cross-modal deep networks for document image classification. In: 2020 IEEE International Conference on Image Processing (ICIP), pp. 2556\u20132560. IEEE (2020)","DOI":"10.1109\/ICIP40778.2020.9191268"},{"key":"6_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109419","volume":"139","author":"S Bakkali","year":"2023","unstructured":"Bakkali, S., Ming, Z., Coustaty, M., Rusi\u00f1ol, M., Terrades, O.R.: Vlcdoc: vision-language contrastive pre-training model for cross-modal document classification. Pattern Recogn. 139, 109419 (2023)","journal-title":"Pattern Recogn."},{"issue":"9","key":"6_CR5","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1007\/s10994-022-06178-9","volume":"111","author":"T Baumhauer","year":"2022","unstructured":"Baumhauer, T., Sch\u00f6ttle, P., Zeppelzauer, M.: Machine unlearning: linear filtration for logit-based classifiers. Mach. Learn. 111(9), 3203\u20133226 (2022)","journal-title":"Mach. Learn."},{"key":"6_CR6","unstructured":"Brophy, J., Lowd, D.: Machine unlearning for random forests. In: International Conference on Machine Learning, pp. 1092\u20131104. PMLR (2021)"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Cao, Q., Shen, L., Xie, W., Parkhi, O.M., Zisserman, A.: Vggface2: a dataset for recognising faces across pose and age. In: 2018 13th IEEE International Conference on Automatic Face & Gesture recognition (FG 2018), pp. 67\u201374. IEEE (2018)","DOI":"10.1109\/FG.2018.00020"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Cao, Y., Yang, J.: Towards making systems forget with machine unlearning. In: 2015 IEEE Symposium on Security and Privacy, pp. 463\u2013480. IEEE (2015)","DOI":"10.1109\/SP.2015.35"},{"key":"6_CR9","doi-asserted-by":"crossref","unstructured":"Chen, M., Gao, W., Liu, G., Peng, K., Wang, C.: Boundary unlearning: rapid forgetting of deep networks via shifting the decision boundary. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7766\u20137775 (2023)","DOI":"10.1109\/CVPR52729.2023.00750"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"6_CR11","unstructured":"Ginart, A., Guan, M., Valiant, G., Zou, J.Y.: Making ai forget you: Data deletion in machine learning. Advances in neural information processing systems 32 (2019)"},{"key":"6_CR12","doi-asserted-by":"crossref","unstructured":"Golatkar, A., Achille, A., Soatto, S.: Eternal sunshine of the spotless net: selective forgetting in deep networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9304\u20139312 (2020)","DOI":"10.1109\/CVPR42600.2020.00932"},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Graves, L., Nagisetty, V., Ganesh, V.: Amnesiac machine learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a035, pp. 11516\u201311524 (2021)","DOI":"10.1609\/aaai.v35i13.17371"},{"key":"6_CR14","unstructured":"Guo, C., Goldstein, T., Hannun, A., Van Der\u00a0Maaten, L.: Certified data removal from machine learning models. In: Proceedings of the 37th International Conference on Machine Learning, pp. 3832\u20133842 (2020)"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Harley, A.W., Ufkes, A., Derpanis, K.G.: Evaluation of deep convolutional nets for document image classification and retrieval. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 991\u2013995. IEEE (2015)","DOI":"10.1109\/ICDAR.2015.7333910"},{"key":"6_CR16","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"6_CR17","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"6_CR18","unstructured":"Izzo, Z., Smart, M.A., Chaudhuri, K., Zou, J.: Approximate data deletion from machine learning models. In: International Conference on Artificial Intelligence and Statistics, pp. 2008\u20132016. PMLR (2021)"},{"issue":"12","key":"6_CR19","doi-asserted-by":"publisher","first-page":"8846","DOI":"10.1109\/TPAMI.2021.3122572","volume":"44","author":"L Kang","year":"2021","unstructured":"Kang, L., Riba, P., Rusinol, M., Fornes, A., Villegas, M.: Content and style aware generation of text-line images for handwriting recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(12), 8846\u20138860 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR20","unstructured":"Koh, P.W., Liang, P.: Understanding black-box predictions via influence functions. In: International Conference on Machine Learning, pp. 1885\u20131894. PMLR (2017)"},{"key":"6_CR21","unstructured":"Krizhevsky, A., Hinton, G., et\u00a0al.: Learning multiple layers of features from tiny images (2009)"},{"key":"6_CR22","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.patrec.2013.10.030","volume":"43","author":"J Kumar","year":"2014","unstructured":"Kumar, J., Ye, P., Doermann, D.: Structural similarity for document image classification and retrieval. Pattern Recogn. Lett. 43, 119\u2013126 (2014)","journal-title":"Pattern Recogn. Lett."},{"key":"6_CR23","unstructured":"Le, Y., Yang, X.: Tiny imagenet visual recognition challenge. CS 231N 7(7), 3 (2015)"},{"key":"6_CR24","doi-asserted-by":"crossref","unstructured":"Lin, S., Zhang, X., Chen, C., Chen, X., Susilo, W.: Erm-ktp: Knowledge-level machine unlearning via knowledge transfer. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 20147\u201320155 (2023)","DOI":"10.1109\/CVPR52729.2023.01929"},{"issue":"1","key":"6_CR25","first-page":"5776","volume":"21","author":"J Martens","year":"2020","unstructured":"Martens, J.: New insights and perspectives on the natural gradient method. The Journal of Machine Learning Research 21(1), 5776\u20135851 (2020)","journal-title":"The Journal of Machine Learning Research"},{"key":"6_CR26","doi-asserted-by":"crossref","unstructured":"McCloskey, M., Cohen, N.J.: Catastrophic interference in connectionist networks: The sequential learning problem. In: Psychology of learning and motivation, vol.\u00a024, pp. 109\u2013165. Elsevier (1989)","DOI":"10.1016\/S0079-7421(08)60536-8"},{"key":"6_CR27","unstructured":"M\u00fcller, R., Kornblith, S., Hinton, G.E.: When does label smoothing help? Advances in neural information processing systems 32 (2019)"},{"key":"6_CR28","unstructured":"Neel, S., Roth, A., Sharifi-Malvajerdi, S.: Descent-to-delete: gradient-based methods for machine unlearning. In: Algorithmic Learning Theory, pp. 931\u2013962. PMLR (2021)"},{"key":"6_CR29","doi-asserted-by":"crossref","unstructured":"Regulation, G.D.P.: General data protection regulation (gdpr). Intersoft Consulting, Accessed in October 24(1) (2018)","DOI":"10.1016\/j.maturitas.2018.01.017"},{"key":"6_CR30","doi-asserted-by":"crossref","unstructured":"Seuret, M., et al.: Icdar 2021 competition on historical document classification. In: International Conference on Document Analysis and Recognition, pp. 618\u2013634. Springer (2021)","DOI":"10.1007\/978-3-030-86337-1_41"},{"key":"6_CR31","doi-asserted-by":"crossref","unstructured":"Tarun, A.K., Chundawat, V.S., Mandal, M., Kankanhalli, M.: Fast yet effective machine unlearning. IEEE Trans. Neural Networks Learn. Syst. (2023)","DOI":"10.1109\/TIFS.2023.3265506"},{"key":"6_CR32","unstructured":"Wang, T., Zhu, J.Y., Torralba, A., Efros, A.A.: Dataset distillation (2018). arXiv preprint arXiv:1811.10959"},{"key":"6_CR33","doi-asserted-by":"crossref","unstructured":"Zhu, J.Y., Park, T., Isola, P., Efros, A.A.: Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2223\u20132232 (2017)","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Lecture Notes in Computer Science","Document Analysis and Recognition - ICDAR 2024"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70546-5_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T05:05:21Z","timestamp":1725944721000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70546-5_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031705458","9783031705465"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70546-5_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"11 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICDAR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Document Analysis and Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","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":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icdar2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icdar2024.net\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}