{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:56:38Z","timestamp":1742975798598,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031278174"},{"type":"electronic","value":"9783031278181"}],"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\/978-3-031-27818-1_59","type":"book-chapter","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T10:20:17Z","timestamp":1680171617000},"page":"718-725","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Importance of\u00a0Image Interpretation: Patterns of\u00a0Semantic Misclassification in\u00a0Real-World Adversarial Images"],"prefix":"10.1007","author":[{"given":"Zhengyu","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nga","family":"Dang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martha","family":"Larson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,3,31]]},"reference":[{"key":"59_CR1","doi-asserted-by":"crossref","unstructured":"Dong, Y., et al.: Boosting adversarial attacks with momentum. In: Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, Salt Lake City, USA, pp. 9185\u20139193. IEEE (2018)","DOI":"10.1109\/CVPR.2018.00957"},{"key":"59_CR2","doi-asserted-by":"crossref","unstructured":"Dong, Y., Pang, T., Su, H., Zhu, J.: Evading defenses to transferable adversarial examples by translation-invariant attacks. In: Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, Long Beach, USA, pp. 4312\u20134321. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00444"},{"key":"59_CR3","unstructured":"Inkawhich, N., Liang, K.J., Wang, B., Inkawhich, M., Carin, L., Chen, Y.: Perturbing across the feature hierarchy to improve standard and strict blackbox attack transferability. In: Advances in Neural Information Processing Systems. NeurIPS (2020)"},{"key":"59_CR4","doi-asserted-by":"crossref","unstructured":"Kurakin, A., Goodfellow, I., Bengio, S.: Adversarial examples in the physical world. In: International Conference on Learning Representations. ICLR, Toulon, France (2017)","DOI":"10.1201\/9781351251389-8"},{"key":"59_CR5","doi-asserted-by":"crossref","unstructured":"Li, C.Y., Shamsabadi, A.S., Sanchez-Matilla, R., Mazzon, R., Cavallaro, A.: Scene privacy protection. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Brighton, UK, pp. 2502\u20132506. IEEE (2019)","DOI":"10.1109\/ICASSP.2019.8682225"},{"key":"59_CR6","doi-asserted-by":"crossref","unstructured":"Li, M., Deng, C., Li, T., Yan, J., Gao, X., Huang, H.: Towards transferable targeted attack. In: Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, pp. 641\u2013649. IEEE (2020)","DOI":"10.1109\/CVPR42600.2020.00072"},{"key":"59_CR7","unstructured":"Liu, Y., Chen, X., Liu, C., Song, D.: Delving into transferable adversarial examples and black-box attacks. In: International Conference on Learning Representations. ICLR, Toulon, France (2017)"},{"key":"59_CR8","doi-asserted-by":"crossref","unstructured":"Papernot, N., McDaniel, P., Jha, S., Fredrikson, M., Celik, Z.B., Swami, A.: The limitations of deep learning in adversarial settings, Saarbr\u00fccken, Germany, pp. 372\u2013387. IEEE (2016)","DOI":"10.1109\/EuroSP.2016.36"},{"key":"59_CR9","doi-asserted-by":"crossref","unstructured":"Xie, C., et al.: Improving transferability of adversarial examples with input diversity. In: Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, Long Beach, USA, pp. 2730\u20132739. IEEE (2019)","DOI":"10.1109\/CVPR.2019.00284"},{"key":"59_CR10","doi-asserted-by":"crossref","unstructured":"Zhang, C., Benz, P., Karjauv, A., Kweon, I.S.: Data-free universal adversarial perturbation and black-box attack. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 7868\u20137877. IEEE (2021)","DOI":"10.1109\/ICCV48922.2021.00777"},{"key":"59_CR11","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Liu, Z., Larson, M.: Towards large yet imperceptible adversarial image perturbations with perceptual color distance. In: Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, pp. 1039\u20131048. IEEE (2020)","DOI":"10.1109\/CVPR42600.2020.00112"},{"key":"59_CR12","unstructured":"Zhao, Z., Liu, Z., Larson, M.: On success and simplicity: a second look at transferable targeted attacks. In: Advances in Neural Information Processing Systems. NeurIPS (2021)"}],"container-title":["Lecture Notes in Computer Science","MultiMedia Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-27818-1_59","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T10:35:22Z","timestamp":1680172522000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-27818-1_59"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031278174","9783031278181"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-27818-1_59","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MMM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Multimedia Modeling","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bergen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Norway","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":"9 January 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 January 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mmm2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conftool Pro","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"267","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":"86","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":"32% - 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":"4","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}