{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T20:52:28Z","timestamp":1771102348994,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031708923","type":"print"},{"value":"9783031708930","type":"electronic"}],"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\/978-3-031-70893-0_30","type":"book-chapter","created":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T11:02:54Z","timestamp":1724929374000},"page":"350-354","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Brief Systematization of\u00a0Explanation-Aware Attacks"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1930-8323","authenticated-orcid":false,"given":"Maximilian","family":"Noppel","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1493-9552","authenticated-orcid":false,"given":"Christian","family":"Wressnegger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,30]]},"reference":[{"key":"30_CR1","unstructured":"A\u00efvodji, U., Arai, H., Fortineau, O., Gambs, S., Hara, S., Tapp, A.: Fairwashing: the risk of rationalization. In: Proceedings of the International Conference on Machine Learning (ICML), Proceedings of Machine Learning Research, vol.\u00a097 (2019)"},{"key":"30_CR2","unstructured":"A\u00efvodji, U., Arai, H., Gambs, S., Hara, S.: Characterizing the risk of fairwashing. In: Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS) (2021)"},{"key":"30_CR3","unstructured":"Anders, C.J., Pasliev, P., Dombrowski, A.K., M\u00fcller, K.R., Kessel, P.: Fairwashing explanations with off-manifold detergent. In: Proceedings of the International Conference on Machine Learning (ICML), Proceedings of Machine Learning Research, vol. 119 (2020)"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Baniecki, H., Biecek, P.: Adversarial attacks and defenses in explainable artificial intelligence: a survey. In: Proceedings of the IJCAI Workshop of Explainable AI (XAI) (2023)","DOI":"10.1016\/j.inffus.2024.102303"},{"key":"30_CR5","unstructured":"Dombrowski, A.K., Alber, M., Anders, C., Ackermann, M., M\u00fcller, K.R., Kessel, P.: Explanations can be manipulated and geometry is to blame. In: Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS) (2019)"},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Fang, S., Choromanska, A.: Backdoor attacks on the DNN interpretation system. In: Proceedings of the National Conference on Artificial Intelligence (AAAI) (2022)","DOI":"10.1609\/aaai.v36i1.19935"},{"key":"30_CR7","unstructured":"Heo, J., Joo, S., Moon, T.: Fooling neural network interpretations via adversarial model manipulation. In: Proceedings of the Annual Conference on Neural Information Processing Systems (NeurIPS) (2019)"},{"key":"30_CR8","unstructured":"Ivankay, A., Girardi, I., Frossard, P., Marchiori, C.: Fooling explanations in text classifiers. In: Proceedings of the International Conference on Learning Representations (ICLR) (2022)"},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Lakkaraju, H., Bastani, O.: \u201cHow do I fool you?\u201d: manipulating user trust via misleading black box explanations. In: Proceedings of the AAAI\/ACM Conference on AI, Ethics, and Society (AIES) (2020)","DOI":"10.1145\/3375627.3375833"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Noppel, M., Peter, L., Wressnegger, C.: Disguising attacks with explanation-aware backdoors. In: Proceedings of the IEEE Symposium on Security and Privacy (S &P) (2023)","DOI":"10.1109\/SP46215.2023.10179308"},{"key":"30_CR11","unstructured":"Noppel, M., Wressnegger, C.: Explanation-aware backdoors in a nutshell. In: Proceedings of the German Conference on Artificial Intelligence (KI) (2023)"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Noppel, M., Wressnegger, C.: SoK: explainable machine learning in adversarial environments. In: Proceedings of the IEEE Symposium on Security and Privacy (S &P) (2024)","DOI":"10.1109\/SP54263.2024.00021"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Slack, D., Hilgard, S., Jia, E., Singh, S., Lakkaraju, H.: Fooling LIME and SHAP: adversarial attacks on post hoc explanation methods. In: Proceedings of the AAAI\/ACM Conference on AI, Ethics, and Society (AIES) (2020)","DOI":"10.1145\/3375627.3375830"},{"key":"30_CR14","unstructured":"Zhang, X., Wang, N., Shen, H., Ji, S., Luo, X., Wang, T.: Interpretable deep learning under fire. In: Proceedings of the USENIX Security Symposium (2020)"}],"container-title":["Lecture Notes in Computer Science","KI 2024: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-70893-0_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T12:32:32Z","timestamp":1732710752000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-70893-0_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031708923","9783031708930"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-70893-0_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"30 August 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"German Conference on Artificial Intelligence (K\u00fcnstliche Intelligenz)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"W\u00fcrzburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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":"25 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"47","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ki2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.informatik.uni-wuerzburg.de\/ki24\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}