{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:34:29Z","timestamp":1750221269614,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":6,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T00:00:00Z","timestamp":1509321600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"IITP","award":["B0717-16-0116"],"award-info":[{"award-number":["B0717-16-0116"]}]},{"name":"ITRC","award":["IITP-2017-2012-0-00646"],"award-info":[{"award-number":["IITP-2017-2012-0-00646"]}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017R1D1A1B03032966"],"award-info":[{"award-number":["2017R1D1A1B03032966"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,10,30]]},"DOI":"10.1145\/3133956.3138853","type":"proceedings-article","created":{"date-parts":[[2017,10,27]],"date-time":"2017-10-27T12:48:18Z","timestamp":1509108498000},"page":"2467-2469","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Poster"],"prefix":"10.1145","author":[{"given":"Muhammad Ejaz","family":"Ahmed","sequence":"first","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyoungshick","family":"Kim","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,10,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"F. Giorgio B. Biggio and R. Fabio. 2013. Security evaluation of pattern classifiers under attack. IEEE transactions on knowledge and data engineering 26 4 (2013) 984--996.","DOI":"10.1109\/TKDE.2013.57"},{"key":"e_1_3_2_1_2_1","unstructured":"CAIDA dataset. 2016. https:\/\/www.caida.org\/data\/. (2016)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2415032"},{"key":"e_1_3_2_1_4_1","volume-title":"Machine: Practical Adversarial Detection of Malicious Crowdsourcing Workers. USENIX Security Symposium","author":"Zheng G.","year":"2014","unstructured":"H. Zheng G. Wang, T. Wang and B. Y. Zhao. 2014. Man vs. Machine: Practical Adversarial Detection of Malicious Crowdsourcing Workers. USENIX Security Symposium (2014), 239--254."},{"key":"e_1_3_2_1_5_1","volume-title":"IEEE European Symposium on Security and Privacy (Euro S&P)","author":"Jha M.","year":"2016","unstructured":"S. Jha M. Fredrikson Z. B. Celik N. Papernot, P. McDaniel and A. Swami. 2016. The limitations of deep learning in adversarial settings. IEEE European Symposium on Security and Privacy (Euro S&P) (2016), 372--387."},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the Network and Distributed Systems Symposium (NDSS)","author":"Qi W.","year":"2016","unstructured":"Y. Qi W. Xu and D. Evans. 2016. Automatically evading classifiers. In Proceedings of the Network and Distributed Systems Symposium (NDSS) (2016), 1--15."}],"event":{"name":"CCS '17: 2017 ACM SIGSAC Conference on Computer and Communications Security","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"],"location":"Dallas Texas USA","acronym":"CCS '17"},"container-title":["Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3133956.3138853","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3133956.3138853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:11:04Z","timestamp":1750212664000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3133956.3138853"}},"subtitle":["Adversarial Examples for Classifiers in High-Dimensional Network Data"],"short-title":[],"issued":{"date-parts":[[2017,10,30]]},"references-count":6,"alternative-id":["10.1145\/3133956.3138853","10.1145\/3133956"],"URL":"https:\/\/doi.org\/10.1145\/3133956.3138853","relation":{},"subject":[],"published":{"date-parts":[[2017,10,30]]},"assertion":[{"value":"2017-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}