{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:31:32Z","timestamp":1743154292422,"version":"3.40.3"},"publisher-location":"Cham","reference-count":36,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031089732"},{"type":"electronic","value":"9783031089749"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-08974-9_55","type":"book-chapter","created":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T23:02:52Z","timestamp":1656889372000},"page":"696-706","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["What Is the\u00a0Cost of\u00a0Privacy?"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5525-7706","authenticated-orcid":false,"given":"Petr","family":"Dvo\u0159\u00e1\u010dek","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4349-9705","authenticated-orcid":false,"given":"Petr","family":"Hurtik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,4]]},"reference":[{"key":"55_CR1","unstructured":"Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934 (2020)"},{"issue":"1","key":"55_CR2","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1109\/TPAMI.2019.2929257","volume":"43","author":"Z Cao","year":"2019","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: Openpose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans. Pattern Anal. Mach. Intell. 43(1), 172\u2013186 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"55_CR3","doi-asserted-by":"crossref","unstructured":"Cordts, M., et al.: The cityscapes dataset for semantic urban scene understanding. In: Proceeding of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","DOI":"10.1109\/CVPR.2016.350"},{"key":"55_CR4","unstructured":"DeVries, T., Taylor, G.W.: Improved regularization of convolutional neural networks with cutout. arXiv preprint arXiv:1708.04552 (2017)"},{"key":"55_CR5","doi-asserted-by":"crossref","unstructured":"Dietlmeier, J., Antony, J., McGuinness, K., O\u2019Connor, N.E.: How important are faces for person re-identification? In: 2020 25th International Conference on Pattern Recognition (ICPR), pp. 6912\u20136919. IEEE (2021)","DOI":"10.1109\/ICPR48806.2021.9412340"},{"key":"55_CR6","unstructured":"Ge, Z., Liu, S., Wang, F., Li, Z., Sun, J.: Yolox: exceeding yolo series in 2021. arXiv preprint arXiv:2107.08430 (2021)"},{"key":"55_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"55_CR8","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":"55_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1007\/978-3-030-33720-9_44","volume-title":"Advances in Visual Computing","author":"H Hukkel\u00e5s","year":"2019","unstructured":"Hukkel\u00e5s, H., Mester, R., Lindseth, F.: DeepPrivacy: a generative adversarial network for face anonymization. In: Bebis, G., et al. (eds.) ISVC 2019. LNCS, vol. 11844, pp. 565\u2013578. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-33720-9_44"},{"key":"55_CR10","doi-asserted-by":"crossref","unstructured":"Isola, P., Zhu, J.Y., Zhou, T., Efros, A.A.: Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1125\u20131134 (2017)","DOI":"10.1109\/CVPR.2017.632"},{"key":"55_CR11","doi-asserted-by":"crossref","unstructured":"Klomp, S.R., van Rijn, M., Wijnhoven, R.G., Snoek, C.G., de With, P.H.: Safe fakes: evaluating face anonymizers for face detectors. arXiv preprint arXiv:2104.11721 (2021)","DOI":"10.1109\/FG52635.2021.9666936"},{"key":"55_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Z., et al.: Swin transformer: hierarchical vision transformer using shifted windows. In: International Conference on Computer Vision (ICCV) (2021)","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"55_CR13","unstructured":"Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)"},{"key":"55_CR14","doi-asserted-by":"crossref","unstructured":"Mandelli, S., Bondi, L., Lameri, S., Lipari, V., Bestagini, P., Tubaro, S.: Inpainting-based camera anonymization. In: 2017 IEEE International Conference on Image Processing (ICIP), pp. 1522\u20131526. IEEE (2017)","DOI":"10.1109\/ICIP.2017.8296536"},{"key":"55_CR15","doi-asserted-by":"crossref","unstructured":"Maximov, M., Elezi, I., Leal-Taix\u00e9, L.: Ciagan: conditional identity anonymization generative adversarial networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 5447\u20135456 (2020)","DOI":"10.1109\/CVPR42600.2020.00549"},{"key":"55_CR16","unstructured":"Milakis, D., Thomopoulos, N., Van Wee, B.: Policy Implications of Autonomous Vehicles. Academic Press (2020)"},{"key":"55_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/978-3-030-34995-0_23","volume-title":"Computer Vision Systems","author":"D M\u00fcnch","year":"2019","unstructured":"M\u00fcnch, D., Grosselfinger, A.-K., Krempel, E., Hebel, M., Arens, M.: Data anonymization for data protection on publicly recorded data. In: Tzovaras, D., Giakoumis, D., Vincze, M., Argyros, A. (eds.) ICVS 2019. LNCS, vol. 11754, pp. 245\u2013258. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-34995-0_23"},{"key":"55_CR18","unstructured":"Oliver, P.: The Student\u2019s Guide to Research Ethics. McGraw-Hill Education (UK) (2010)"},{"key":"55_CR19","doi-asserted-by":"crossref","unstructured":"Pan, Y.L., Chen, J.C., Wu, J.L.: A multi-factor combinations enhanced reversible privacy protection system for facial images. In: 2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1\u20136. IEEE (2021)","DOI":"10.1109\/ICME51207.2021.9428264"},{"key":"55_CR20","unstructured":"Redmon, J., Farhadi, A.: Yolov3: an incremental improvement. arXiv preprint arXiv:1804.02767 (2018)"},{"key":"55_CR21","doi-asserted-by":"crossref","unstructured":"Ren, Z., Lee, Y.J., Ryoo, M.S.: Learning to anonymize faces for privacy preserving action detection. In: Proceedings of the European conference on computer vision (ECCV), pp. 620\u2013636 (2018)","DOI":"10.1007\/978-3-030-01246-5_38"},{"issue":"15","key":"55_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2352\/ISSN.2470-1173.2016.15.IPAS-181","volume":"2016","author":"N Ruchaud","year":"2016","unstructured":"Ruchaud, N., Dugelay, J.L.: Automatic face anonymization in visual data: are we really well protected? Electron. Imaging 2016(15), 1\u20137 (2016)","journal-title":"Electron. Imaging"},{"key":"55_CR23","doi-asserted-by":"crossref","unstructured":"Schnabel, L., Matzka, S., Stellmacher, M., P\u00e4tzold, M., Matthes, E.: Impact of anonymization on vehicle detector performance. In: 2019 Second International Conference on Artificial Intelligence for Industries (AI4I), pp. 30\u201334. IEEE (2019)","DOI":"10.1109\/AI4I46381.2019.00016"},{"key":"55_CR24","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"issue":"7","key":"55_CR25","doi-asserted-by":"publisher","first-page":"1829","DOI":"10.1007\/s11263-019-01288-9","volume":"128","author":"Z Shen","year":"2020","unstructured":"Shen, Z., Lai, W.S., Xu, T., Kautz, J., Yang, M.H.: Exploiting semantics for face image deblurring. Int. J. Comput. Vis. 128(7), 1829\u20131846 (2020)","journal-title":"Int. J. Comput. Vis."},{"key":"55_CR26","unstructured":"Sutskever, I., Martens, J., Dahl, G., Hinton, G.: On the importance of initialization and momentum in deep learning. In: International Conference on Machine Learning, pp. 1139\u20131147. PMLR (2013)"},{"issue":"1","key":"55_CR27","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1080\/01441647.2018.1494640","volume":"39","author":"A Taeihagh","year":"2019","unstructured":"Taeihagh, A., Lim, H.S.M.: Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks. Transp. Rev. 39(1), 103\u2013128 (2019)","journal-title":"Transp. Rev."},{"key":"55_CR28","doi-asserted-by":"crossref","unstructured":"Tu, X., et al.: Joint face image restoration and frontalization for recognition. IEEE Trans. Circ. Syst. Video Technol. (2021)","DOI":"10.1109\/TCSVT.2021.3078517"},{"key":"55_CR29","doi-asserted-by":"crossref","unstructured":"Varma, G., Subramanian, A., Namboodiri, A., Chandraker, M., Jawahar, C.: IDD: a dataset for exploring problems of autonomous navigation in unconstrained environments. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1743\u20131751. IEEE (2019)","DOI":"10.1109\/WACV.2019.00190"},{"key":"55_CR30","unstructured":"Vaswani, A., et al.: Attention is all you need. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"55_CR31","doi-asserted-by":"crossref","unstructured":"Vla\u0161\u00e1nek, P.: F-transform in image inpainting applications. In: 2018 Joint 7th International Conference on Informatics, Electronics & Vision (ICIEV) and 2018 2nd International Conference on Imaging, Vision & Pattern Recognition (icIVPR), pp. 562\u2013566. IEEE (2018)","DOI":"10.1109\/ICIEV.2018.8640997"},{"key":"55_CR32","doi-asserted-by":"crossref","unstructured":"Wang, C.Y., Bochkovskiy, A., Liao, H.Y.M.: Scaled-yolov4: scaling cross stage partial network. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13029\u201313038 (2021)","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"55_CR33","doi-asserted-by":"crossref","unstructured":"Wiles, R., Clark, A., Prosser, J., et al.: Visual research ethics at the crossroads. Sage Vis. Methods 1 (2011)","DOI":"10.4135\/9781446268278.n36"},{"key":"55_CR34","doi-asserted-by":"crossref","unstructured":"Yang, S., Luo, P., Loy, C.C., Tang, X.: Wider face: a face detection benchmark. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5525\u20135533 (2016)","DOI":"10.1109\/CVPR.2016.596"},{"key":"55_CR35","unstructured":"Yu, F., Xian, W., Chen, Y., Liu, F., Liao, M., Madhavan, V., Darrell, T.: Bdd100k: a diverse driving video database with scalable annotation tooling. 2(5), 6 (2018). arXiv preprint arXiv:1805.04687"},{"key":"55_CR36","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, L., Kang, G., Li, S., Yang, Y.: Random erasing data augmentation. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, pp. 13001\u201313008 (2020)","DOI":"10.1609\/aaai.v34i07.7000"}],"container-title":["Communications in Computer and Information Science","Information Processing and Management of Uncertainty in Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08974-9_55","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,3]],"date-time":"2022-07-03T23:25:02Z","timestamp":1656890702000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08974-9_55"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031089732","9783031089749"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08974-9_55","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"4 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMU","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmu2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmu2022.disco.unimib.it\/","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":"188","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":"124","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":"0","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":"66% - 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","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)"}}]}}