{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:51:01Z","timestamp":1761061861407},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>Understanding the vulnerability of label aggregation against data poisoning attacks is key to ensuring data quality in crowdsourced label collection. State-of-the-art attack mechanisms generally assume full knowledge of the aggregation models while failing to consider the flexibility of malicious workers in selecting which instances to label. Such a setup limits the applicability of the attack mechanisms and impedes further improvement of their success rate. This paper introduces a black-box data poisoning attack framework that finds the optimal strategies for instance selection and labeling to attack unknown label aggregation models in crowdsourcing. We formulate the attack problem on top of a generic formalization of label aggregation models and then introduce a substitution approach that attacks a substitute aggregation model in replacement of the unknown model. Through extensive validation on multiple real-world datasets, we demonstrate the effectiveness of both instance selection and model substitution in improving the success rate of attacks.<\/jats:p>","DOI":"10.24963\/ijcai.2023\/332","type":"proceedings-article","created":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:31:30Z","timestamp":1691742690000},"page":"2975-2983","source":"Crossref","is-referenced-by-count":4,"title":["Black-Box Data Poisoning Attacks on Crowdsourcing"],"prefix":"10.24963","author":[{"given":"Pengpeng","family":"Chen","sequence":"first","affiliation":[{"name":"China's Aviation System Engineering Research Institute, Beijing, China"},{"name":"SKLSDE Lab, Beihang University, Beijing, China"},{"name":"Chinese Aeronautical Establishment, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongqiang","family":"Yang","sequence":"additional","affiliation":[{"name":"SKLSDE Lab, Beihang University, Beijing, China"},{"name":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingqi","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Internet of Things for Smart City and Department of Computer and Information Science, University of Macau, Macau SAR, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailong","family":"Sun","sequence":"additional","affiliation":[{"name":"SKLSDE Lab, Beihang University, Beijing, China"},{"name":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhijun","family":"Chen","sequence":"additional","affiliation":[{"name":"SKLSDE Lab, Beihang University, Beijing, China"},{"name":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Lin","sequence":"additional","affiliation":[{"name":"China's Aviation System Engineering Research Institute, Beijing, China"},{"name":"Chinese Aeronautical Establishment, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"32","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2023","name":"Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}","start":{"date-parts":[[2023,8,19]]},"theme":"Artificial Intelligence","location":"Macau, SAR China","end":{"date-parts":[[2023,8,25]]}},"container-title":["Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2023,8,11]],"date-time":"2023-08-11T08:45:57Z","timestamp":1691743557000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2023\/332"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2023\/332","relation":{},"subject":[],"published":{"date-parts":[[2023,8]]}}}