{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:29:10Z","timestamp":1778347750704,"version":"3.51.4"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"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":[[2024,6,9]]},"DOI":"10.1109\/icc51166.2024.10623031","type":"proceedings-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T15:34:42Z","timestamp":1724168082000},"page":"3982-3987","source":"Crossref","is-referenced-by-count":6,"title":["A GAN-Based Data Poisoning Framework Against Anomaly Detection in Vertical Federated Learning"],"prefix":"10.1109","author":[{"given":"Xiaolin","family":"Chen","sequence":"first","affiliation":[{"name":"Integration Innovation Center, Institute of Software, Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daoguang","family":"Zan","sequence":"additional","affiliation":[{"name":"Integration Innovation Center, Institute of Software, Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Li","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bei","family":"Guan","sequence":"additional","affiliation":[{"name":"Integration Innovation Center, Institute of Software, Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongji","family":"Wang","sequence":"additional","affiliation":[{"name":"Integration Innovation Center, Institute of Software, Chinese Academy of Sciences,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2016","article-title":"Regulation (eu) 2016\/679 of the european parliament and of the council","volume":"679","author":"Regulation","year":"2016","journal-title":"Regulation (eu)"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900461"},{"key":"ref4","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u00fd","year":"2016","journal-title":"arXiv preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2021.3082561"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482061"},{"key":"ref9","article-title":"Deep leakage from gradients","volume":"32","author":"Zhu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref10","article-title":"Pri-vacy leakage of real-world vertical federated learning","author":"Weng","year":"2020","journal-title":"arXiv preprint"},{"key":"ref11","first-page":"1397","article-title":"Label inference attacks against vertical federated learning","volume-title":"31st USENIX Security Symposium (USENIX Security 22)","author":"Fu","year":"2022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3275161"},{"key":"ref14","article-title":"Batch label inference and replacement attacks in black-boxed vertical federated learning","author":"Liu","year":"2021","journal-title":"arXiv preprint"},{"key":"ref15","first-page":"2743","article-title":"{VILLAIN}: Backdoor attacks against vertical split learning","volume-title":"32nd USENIX Security Symposium (USENIX Security 23)","author":"Bai","year":"2023"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.09.037"},{"key":"ref17","first-page":"596","article-title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","volume":"33","author":"Sohn","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref18","article-title":"Delving into transfer-able adversarial examples and black-box attacks","author":"Liu","year":"2016","journal-title":"arXiv preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838942"}],"event":{"name":"ICC 2024 - IEEE International Conference on Communications","location":"Denver, CO, USA","start":{"date-parts":[[2024,6,9]]},"end":{"date-parts":[[2024,6,13]]}},"container-title":["ICC 2024 - IEEE International Conference on Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10622104\/10622158\/10623031.pdf?arnumber=10623031","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,29]],"date-time":"2024-08-29T19:55:22Z","timestamp":1724961322000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10623031\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,9]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icc51166.2024.10623031","relation":{},"subject":[],"published":{"date-parts":[[2024,6,9]]}}}