{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T10:41:45Z","timestamp":1791456105390,"version":"4.3.4"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589334.3645698","type":"proceedings-article","created":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T07:08:13Z","timestamp":1715152093000},"page":"1902-1913","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8713-3863","authenticated-orcid":false,"given":"Kiho","family":"Lee","sequence":"first","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3547-4904","authenticated-orcid":false,"given":"Chaejin","family":"Lim","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3237-0327","authenticated-orcid":false,"given":"Beomjin","family":"Jin","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7505-7931","authenticated-orcid":false,"given":"Taeyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1605-3866","authenticated-orcid":false,"given":"Hyoungshick","family":"Kim","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University, Suwon, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Easylist. URL: https:\/\/easylist.to\/."},{"key":"e_1_3_2_2_2_1","unstructured":"Easyprivacy. URL: https:\/\/easylist.to\/easylist\/easyprivacy.txt."},{"key":"e_1_3_2_2_3_1","first-page":"230","volume-title":"Proceedings of the 2019 Internet Measurement Conference (IMC)","author":"Alrizah Mshabab","year":"2019","unstructured":"Mshabab Alrizah, Sencun Zhu, Xinyu Xing, and Gang Wang. Errors, misunderstandings, and attacks: Analyzing the crowdsourcing process of ad-blocking systems. In Proceedings of the 2019 Internet Measurement Conference (IMC), pages 230--244, 2019."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00017"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP40000.2020.00005"},{"key":"e_1_3_2_2_6_1","first-page":"2875","volume-title":"Proceedings of the 2022 USENIX Security Symposium (Security)","author":"Siby Sandra","year":"2022","unstructured":"Sandra Siby, Umar Iqbal, Steven Englehardt, Zubair Shafiq, and Carmela Troncoso. WebGraph: Capturing advertising and tracking information flows for robust blocking. In Proceedings of the 2022 USENIX Security Symposium (Security), pages 2875--2892, 2022."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833670"},{"key":"e_1_3_2_2_8_1","volume-title":"Proceedings of the 2020 Workshop on Automatic Machine Learning (ICML)","volume":"2020","author":"LeDell Erin","year":"2020","unstructured":"Erin LeDell and Sebastien Poirier. H2O automl: Scalable automatic machine learning. In Proceedings of the 2020 Workshop on Automatic Machine Learning (ICML), volume 2020, 2020."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.47"},{"key":"e_1_3_2_2_10_1","volume-title":"Sep","author":"Chen Brian X.","year":"2021","unstructured":"Brian X. Chen. The battle for digital privacy is reshaping the internet, Sep 2021. URL: https:\/\/www.nytimes.com\/2021\/09\/16\/technology\/digital-privacy.html."},{"key":"e_1_3_2_2_11_1","volume-title":"Oct","author":"Your","year":"2019","unstructured":"Your data is shared and sold... What's being done about it?, Oct 2019. URL: https:\/\/knowledge.wharton.upenn.edu\/article\/data-shared-sold-whats-done\/."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3374136"},{"key":"e_1_3_2_2_13_1","volume-title":"Jan","author":"Hegel Tom","year":"2023","unstructured":"Tom Hegel. Breaking down the SEO poisoning attack: Howattackers are hijacking search results, Jan 2023. URL: https:\/\/www.sentinelone.com\/blog\/breaking-downthe-seo-poisoning-attack-how-attackers-are-hijacking-search-results\/."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741679"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2017.26"},{"key":"e_1_3_2_2_16_1","volume-title":"Ublock origin","author":"Hill Raymond","year":"2020","unstructured":"Raymond Hill. Ublock origin, 2020. URL: https:\/\/ublockorigin.com\/."},{"key":"e_1_3_2_2_17_1","unstructured":"Privacy Badger. URL: https:\/\/privacybadger.org\/."},{"key":"e_1_3_2_2_18_1","unstructured":"Disconnect. URL: https:\/\/disconnect.me\/."},{"key":"e_1_3_2_2_19_1","unstructured":"Firefox. URL: https:\/\/www.mozilla.org\/en-US\/firefox\/features\/private-browsing\/."},{"key":"e_1_3_2_2_20_1","unstructured":"Brave browser. URL: https:\/\/brave.com\/."},{"key":"e_1_3_2_2_21_1","unstructured":"Fanboy list. URL: https:\/\/fanboy.co.nz\/."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131365.3131387"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380239"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978313"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/2666652.2666662"},{"key":"e_1_3_2_2_26_1","first-page":"7535","volume-title":"Proceedings of the 2023 USENIX Security Symposium (Security)","author":"Le Hieu","year":"2023","unstructured":"Hieu Le, Salma Elmalaki, Athina Markopoulou, and Zubair Shafiq. AutoFR: Automated filter rule generation for adblocking. In Proceedings of the 2023 USENIX Security Symposium (Security), pages 7535--7552, 2023."},{"key":"e_1_3_2_2_27_1","volume-title":"The future of ad blocking: An analytical framework and new techniques. arXiv preprint arXiv:1705.08568","author":"Storey Grant","year":"2017","unstructured":"Grant Storey, Dillon Reisman, Jonathan Mayer, and Arvind Naayana. The future of ad blocking: An analytical framework and new techniques. arXiv preprint arXiv:1705.08568, 2017."},{"key":"e_1_3_2_2_28_1","first-page":"387","volume-title":"Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC)","author":"Din Zainul Abi","year":"2020","unstructured":"Zainul Abi Din, Panagiotis Tigas, Samuel T. King, and Benjamin Livshits. Percival: Making in-browser perceptual ad blocking practical with deep learning. In Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC), pages 387--400, 2020."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354222"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23386"},{"key":"e_1_3_2_2_31_1","first-page":"1420","volume-title":"Proceedings of the 2023 ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA)","author":"Ren Kunlun","year":"2023","unstructured":"Kunlun Ren, Weizhong Qiang, Yueming Wu, Yi Zhou, Deqing Zou, and Hai Jin. An empirical study on the effects of obfuscation on static machine learningbased malicious javascript detectors. In Proceedings of the 2023 ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), pages 1420--1432, 2023."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118445112.stat06227"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781003010623-15"},{"key":"e_1_3_2_2_36_1","volume-title":"UMAP: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426","author":"McInnes Leland","year":"2018","unstructured":"Leland McInnes, John Healy, and James Melville. UMAP: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426, 2018."},{"key":"e_1_3_2_2_37_1","unstructured":"Chrome.declarativenetrequest. URL: https:\/\/developer.chrome.com\/docs\/ extensions\/reference\/declarativeNetRequest\/."},{"key":"e_1_3_2_2_38_1","unstructured":"Javascript-obfuscator: A powerful obfuscator for javascript and node.js. URL: https:\/\/github.com\/javascript-obfuscator\/javascript-obfuscator."},{"key":"e_1_3_2_2_39_1","unstructured":"Gnirts: Obfuscate string literals in javascript code. URL: https:\/\/github.com \/anseki\/gnirts."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833626"},{"key":"e_1_3_2_2_41_1","volume-title":"Modeling tabular data using conditional gan. Advances in neural information processing systems, 32","author":"Xu Lei","year":"2019","unstructured":"Lei Xu, Maria Skoularidou, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni. Modeling tabular data using conditional gan. Advances in neural information processing systems, 32, 2019."},{"key":"e_1_3_2_2_42_1","unstructured":"Peterlowe's list. URL: https:\/\/pgl.yoyo.org\/adservers\/serverlist.php?hostformat=adblockplus."},{"key":"e_1_3_2_2_43_1","unstructured":"Warning removal list. URL: https:\/\/easylist-downloads.adblockplus.org\/antiadblockfilters.txt."}],"event":{"name":"WWW '24: The ACM Web Conference 2024","location":"Singapore Singapore","acronym":"WWW '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645698","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589334.3645698","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:32:47Z","timestamp":1755822767000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589334.3645698"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":43,"alternative-id":["10.1145\/3589334.3645698","10.1145\/3589334"],"URL":"https:\/\/doi.org\/10.1145\/3589334.3645698","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}