{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T15:02:34Z","timestamp":1784300554622,"version":"3.55.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1109\/icc45855.2022.9839062","type":"proceedings-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T15:37:11Z","timestamp":1660232231000},"page":"1015-1015","source":"Crossref","is-referenced-by-count":6,"title":["Privacy Risk Assessment of Training Data in Machine Learning"],"prefix":"10.1109","author":[{"given":"Yang","family":"Bai","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyu","family":"Fan","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Li","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuangmin","family":"Xie","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China,School of Computer Science and Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2018.00027"},{"key":"ref11","first-page":"1","article-title":"Data quality considerations for big data and machine learning: Going beyond data cleaning and transformations","volume":"10","author":"gudivada","year":"2017","journal-title":"International Journal On Advances in Software"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2460999.2461024"},{"key":"ref13","article-title":"Data quality centric application framework for big data","volume":"33","author":"gudivada","year":"2016","journal-title":"ALLDATA 2016"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2600821.2600841"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1000167"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref18","article-title":"Mcmia: Model compression against membership inference attack in deep neural networks","author":"wang","year":"2020"},{"key":"ref19","first-page":"17","article-title":"Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing","author":"fredrikson","year":"2014","journal-title":"23rd USENIX Security Symposium ( USENIX Security 14)"},{"key":"ref4","article-title":"Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models","author":"salem","year":"2018"},{"key":"ref27","volume":"9","author":"anthony","year":"1999"},{"key":"ref3","article-title":"Gan-leaks: A taxonomy of membership inference attacks against gans","author":"chen","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref5","article-title":"Logan: Evaluating information leakage of generative models using generative adversarial networks","author":"hayes","year":"0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2018.0083"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2016.32"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref9","article-title":"Interpreting blackbox models via model extraction","author":"bastani","year":"2017"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref20","article-title":"Ml-doctor: Holistic risk assessment of inference attacks against machine learning models","author":"liu","year":"2021"},{"key":"ref22","article-title":"Systematic evaluation of privacy risks of machine learning models","author":"song","year":"2021","journal-title":"30th USENIX Security Symposium ( USENIX Security 21)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3073804"},{"key":"ref24","article-title":"Industrial Networks and Intelligent Systems: 6th EAI International Conference","volume":"334","author":"vo","year":"2020"},{"key":"ref23","article-title":"Data complexity in machine learning","author":"li","year":"2006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1168\/2\/022022"}],"event":{"name":"ICC 2022 - IEEE International Conference on Communications","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2022,5,16]]},"end":{"date-parts":[[2022,5,20]]}},"container-title":["ICC 2022 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9837954\/9838246\/09839062.pdf?arnumber=9839062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T16:05:16Z","timestamp":1662998716000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9839062\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icc45855.2022.9839062","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}