{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:37:33Z","timestamp":1723016253267},"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":[[2019,8]]},"abstract":"<jats:p>Latent Dirichlet Allocation (LDA) is a popular topic modeling technique for discovery of hidden semantic architecture of text datasets, and plays a fundamental role in many machine learning applications. However, like many other machine learning algorithms, the process of training a LDA model may leak the sensitive information of the training datasets and bring significant privacy risks. To mitigate the privacy issues in LDA, we focus on studying privacy-preserving algorithms of LDA model training in this paper. In particular, we first develop a privacy monitoring algorithm to investigate the privacy guarantee obtained from the inherent randomness of the Collapsed Gibbs Sampling (CGS) process in a typical LDA training algorithm on centralized curated datasets. Then, we further propose a locally private LDA training algorithm on crowdsourced data to provide local differential privacy for individual data contributors. The experimental results on real-world datasets demonstrate the effectiveness of our proposed algorithms.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/675","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"4860-4866","source":"Crossref","is-referenced-by-count":6,"title":["On Privacy Protection of Latent Dirichlet Allocation Model Training"],"prefix":"10.24963","author":[{"given":"Fangyuan","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, China"},{"name":"National Engineering Laboratory for Big Data Analytics, Xi\u2019an Jiaotong University, China"},{"name":"Ministry of Education Key Lab For Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuebin","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, China"},{"name":"National Engineering Laboratory for Big Data Analytics, Xi\u2019an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shusen","family":"Yang","sequence":"additional","affiliation":[{"name":"National Engineering Laboratory for Big Data Analytics, Xi\u2019an Jiaotong University, China"},{"name":"Ministry of Education Key Lab For Intelligent Networks and Network Security, Xi\u2019an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyu","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, China"},{"name":"National Engineering Laboratory for Big Data Analytics, Xi\u2019an Jiaotong University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2019","name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","start":{"date-parts":[[2019,8,10]]},"theme":"Artificial Intelligence","location":"Macao, China","end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:50:58Z","timestamp":1564285858000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/675"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/675","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}