{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:28:33Z","timestamp":1740101313921,"version":"3.37.3"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10021090","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"1588-1593","source":"Crossref","is-referenced-by-count":1,"title":["Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations"],"prefix":"10.1109","author":[{"given":"Huimin","family":"Zeng","sequence":"first","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenrui","family":"Yue","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lanyu","family":"Shang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign,School of Information Sciences,Champaign,IL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140444"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977172.25"},{"key":"ref3","first-page":"3315","article-title":"Equality of opportunity in supervised learning","volume":"29","author":"Hardt","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671973"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS52092.2021.9521312"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186133"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-8715-9_50"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_2"},{"article-title":"Intra-Processing Methods for Debiasing Neural Networks","year":"2020","author":"Savani","key":"ref10"},{"article-title":"Intriguing properties of neural networks","year":"2013","author":"Szegedy","key":"ref11"},{"article-title":"Machine learning with limited data","year":"2021","author":"Yao","key":"ref12"},{"article-title":"Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders","year":"2021","author":"Zeng","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17292"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3278721.3278779"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413772"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10021090.pdf?arnumber=10021090","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:45:54Z","timestamp":1707810354000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10021090\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10021090","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}