{"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":1740101313951,"version":"3.37.3"},"reference-count":45,"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\/bigdata55660.2022.10020711","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"5823-5832","source":"Crossref","is-referenced-by-count":2,"title":["Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification"],"prefix":"10.1109","author":[{"given":"Yijue","family":"Wang","sequence":"first","affiliation":[{"name":"University of Connecticut"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nuo","family":"Xu","sequence":"additional","affiliation":[{"name":"Lehigh University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyi","family":"Huang","sequence":"additional","affiliation":[{"name":"University of Connecticut"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaleel","family":"Mahmood","sequence":"additional","affiliation":[{"name":"University of Connecticut"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Guo","sequence":"additional","affiliation":[{"name":"Northeastern University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caiwen","family":"Ding","sequence":"additional","affiliation":[{"name":"University of Connecticut"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wujie","family":"Wen","sequence":"additional","affiliation":[{"name":"Lehigh University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sanguthevar","family":"Rajasekaran","sequence":"additional","affiliation":[{"name":"University of Connecticut"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2015.152"},{"volume-title":"Learning AWS IoT: Effectively manage connected devices on the AWS cloud using services such as AWS Greengrass, AWS button, predictive analytics and machine learning.","year":"2018","author":"Kurniawan","key":"ref2"},{"volume-title":"Microsoft Azure-Planning, Deploying, and Managing Your Data Center in the.","year":"2015","author":"Gollob","key":"ref3"},{"volume-title":"Google Cloud AI Services Quick Start Guide: Build Intelligent Applications with Google Cloud AI Services.","year":"2018","author":"Ravulavaru","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2019.2897554"},{"article-title":"Coatnet: Marrying convolution and attention for all data sizes","year":"2021","author":"Dai","key":"ref6"},{"article-title":"Rethinking pre-training and self-training","year":"2020","author":"Zoph","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00294"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243855"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/432"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892665"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1515\/popets-2015-0024"},{"article-title":"Systematic evaluation of privacy risks of machine learning models","volume-title":"30th {USENIX} Security Symposium ({USENIX} Security 21)","author":"Song","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354211"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2018.00027"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23119"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"article-title":"Membership inference attacks against nlp classification models","volume-title":"NeurIPS 2021 Workshop Privacy in Machine Learning","author":"Shejwalkar","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3564625.3567986"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900146"},{"issue":"1","key":"ref25","first-page":"61","article-title":"Membership inference attack against differentially private deep learning model","volume":"11","author":"Rahman","year":"2018","journal-title":"Transactions on Data Privacy"},{"key":"ref26","first-page":"1605","article-title":"Stolen memories: Leveraging model memorization for calibrated white-box membership inference","volume-title":"29th {USENIX} Security Symposium ({USENIX} Security 20)","author":"Leino"},{"article-title":"Learning both weights and connections for efficient neural networks","year":"2015","author":"Han","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2478\/s13537-013-0109-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.16"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3489517.3530585"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref32","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.repl4nlp-1.18"},{"key":"ref34","article-title":"Et: re-thinking self-attention for transformer models on gpus","author":"Chen","year":"2021","journal-title":"SC"},{"article-title":"Reweighted proximal pruning for large-scale language representation","year":"2019","author":"Guo","key":"ref35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.398"},{"article-title":"Xlnet: Generalized autoregressive pretraining for language understanding","volume-title":"Advances in Neural Information Processing Systems","author":"Yang","key":"ref37"},{"article-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref38"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1098-2418(199801)12:1<51::AID-RSA3>3.0.CO;2-S"},{"article-title":"To prune, or not to prune: exploring the efficacy of pruning for model compression","year":"2017","author":"Zhu","key":"ref43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5446"},{"article-title":"Opacus: User-friendly differential privacy library in PyTorch","year":"2021","author":"Yousefpour","key":"ref45"}],"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\/10020711.pdf?arnumber=10020711","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T06:35:46Z","timestamp":1707806146000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020711\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020711","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}