{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:17:41Z","timestamp":1764937061811,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,26]],"date-time":"2019-06-26T00:00:00Z","timestamp":1561507200000},"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":[[2019,6,26]]},"DOI":"10.1145\/3326467.3326474","type":"proceedings-article","created":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T12:58:31Z","timestamp":1558357111000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":27,"title":["Empirical Evaluation on Synthetic Data Generation with Generative Adversarial Network"],"prefix":"10.1145","author":[{"given":"Pei-Hsuan","family":"Lu","sequence":"first","affiliation":[{"name":"Industrial Technology Research Institute, Taiwan"}]},{"given":"Pang-Chieh","family":"Wang","sequence":"additional","affiliation":[{"name":"Industrial Technology Research Institute, Taiwan"}]},{"given":"Chia-Mu","family":"Yu","sequence":"additional","affiliation":[{"name":"National Chung Hsing University, Taiwan"}]}],"member":"320","published-online":{"date-parts":[[2019,6,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2588573"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/2051002.2051032"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2014.35"},{"key":"e_1_3_2_1_5_1","volume-title":"CoRR abs\/1510.00917","author":"Maurizio N.","year":"2015","unstructured":"N. Maurizio and D. Giuseppe . Differential privacy: an estimation theory-based method for choosing epsilon. Archive , CoRR abs\/1510.00917 , 2015 . N. Maurizio and D. Giuseppe. Differential privacy: an estimation theory-based method for choosing epsilon. Archive, CoRR abs\/1510.00917, 2015."},{"key":"e_1_3_2_1_6_1","volume-title":"Lin. Data-Driven Approach for Evaluating Risk of Disclosure and Utility in Differentially Private Data Release. International Conference on Advanced Information Networking and Applications (AINA)","author":"Chen K.-C.","year":"2017","unstructured":"K.-C. Chen , C.-M. Yu , B.-C. Tai , S.-C. Li , Y.-T. Tsou , Y. Huang , C.- M. Lin. Data-Driven Approach for Evaluating Risk of Disclosure and Utility in Differentially Private Data Release. International Conference on Advanced Information Networking and Applications (AINA) , 2017 . K.-C. Chen, C.-M. Yu, B.-C. Tai, S.-C. Li, Y.-T. Tsou, Y. Huang, C.-M. Lin. Data-Driven Approach for Evaluating Risk of Disclosure and Utility in Differentially Private Data Release. International Conference on Advanced Information Networking and Applications (AINA), 2017."},{"key":"e_1_3_2_1_7_1","volume-title":"IEEE Pacific Rim International Symposium on Dependable Computing (PRDC)","author":"Tsou Y. T.","year":"2017","unstructured":"Y. T. Tsou , H. L. Chen , J. Y. Chen , C. M. Yu , B. C. Tai , S. C. Li , Y. Huang , and C. M. Lin . Evaluating the risk of data disclosure using noise estimation for differential privacy , IEEE Pacific Rim International Symposium on Dependable Computing (PRDC) , 2017 . Y. T. Tsou, H. L. Chen, J. Y. Chen, C. M. Yu, B. C. Tai, S. C. Li, Y. Huang, and C. M. Lin. Evaluating the risk of data disclosure using noise estimation for differential privacy, IEEE Pacific Rim International Symposium on Dependable Computing (PRDC), 2017."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2017.2737966"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783379"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2015.7232951"},{"key":"e_1_3_2_1_11_1","volume-title":"Testing the robustness of anonymization techniques: acceptable versus unacceptable inferences","author":"Acs G.","year":"2017","unstructured":"G. Acs , C. Castelluccia , and D. Le Metayer . Testing the robustness of anonymization techniques: acceptable versus unacceptable inferences , 2017 . G. Acs, C. Castelluccia, and D. Le Metayer. Testing the robustness of anonymization techniques: acceptable versus unacceptable inferences, 2017."},{"key":"e_1_3_2_1_12_1","volume-title":"Generative adversarial networks. arXiv:1406.2661","author":"Goodfellow I.","year":"2014","unstructured":"I. Goodfellow , J. Pouget-Abadie , M. Mirza , B. Xu , D. Warde-Farley , S. Ozair , A. Courville , and Y. Bengio . Generative adversarial networks. arXiv:1406.2661 , 2014 . I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio. Generative adversarial networks. arXiv:1406.2661, 2014."},{"key":"e_1_3_2_1_13_1","unstructured":"EU General Data Protection Regulation (GDPR). https:\/\/eugdpr.org\/  EU General Data Protection Regulation (GDPR). https:\/\/eugdpr.org\/"},{"key":"e_1_3_2_1_14_1","unstructured":"Health Information Privacy. https:\/\/www.hhs.gov\/hipaa\/index.html  Health Information Privacy. https:\/\/www.hhs.gov\/hipaa\/index.html"},{"key":"e_1_3_2_1_15_1","volume-title":"The Algorithmic Foundations of Differential Privacy","author":"Dwork C.","year":"2014","unstructured":"C. Dwork and A. Roth . The Algorithmic Foundations of Differential Privacy . 2014 . C. Dwork and A. Roth. The Algorithmic Foundations of Differential Privacy. 2014."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1749603.1749605"},{"key":"e_1_3_2_1_17_1","unstructured":"https:\/\/www.iwsec.org\/pws\/2018\/cup18.html  https:\/\/www.iwsec.org\/pws\/2018\/cup18.html"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/3231751.3231757"},{"key":"e_1_3_2_1_19_1","unstructured":"X. Zhang S. Ji and T. Wang. Differentially Private Releasing via Deep Generative Model. https:\/\/arxiv.org\/pdf\/1801.01594.pdf  X. Zhang S. Ji and T. Wang. Differentially Private Releasing via Deep Generative Model. https:\/\/arxiv.org\/pdf\/1801.01594.pdf"}],"event":{"name":"WIMS2019: 9th International Conference on Web Intelligence, Mining and Semantics","sponsor":["CAU Chung-Ang University","KISM Korean Institute of Smart Media"],"location":"Seoul Republic of Korea","acronym":"WIMS2019"},"container-title":["Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3326467.3326474","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3326467.3326474","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:18Z","timestamp":1750204398000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3326467.3326474"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,26]]},"references-count":19,"alternative-id":["10.1145\/3326467.3326474","10.1145\/3326467"],"URL":"https:\/\/doi.org\/10.1145\/3326467.3326474","relation":{},"subject":[],"published":{"date-parts":[[2019,6,26]]},"assertion":[{"value":"2019-06-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}