{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:09:46Z","timestamp":1770271786994,"version":"3.49.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172349"],"award-info":[{"award-number":["62172349"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U24A20247"],"award-info":[{"award-number":["U24A20247"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372396"],"award-info":[{"award-number":["62372396"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Landmark Innovation Demonstration project in Hunan Province","award":["2022XK2301"],"award-info":[{"award-number":["2022XK2301"]}]},{"name":"National Natural Science Foundation of Hunan Province","award":["2023JJ30597"],"award-info":[{"award-number":["2023JJ30597"]}]},{"name":"National Natural Science Foundation of Hunan Province","award":["2023JJ30595"],"award-info":[{"award-number":["2023JJ30595"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Dependable and Secure Comput."],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1109\/tdsc.2025.3545599","type":"journal-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T14:11:35Z","timestamp":1740579095000},"page":"4330-4343","source":"Crossref","is-referenced-by-count":2,"title":["ASDIA: An Adversarial Sample to Preserve Privacy Program in Federated Learning"],"prefix":"10.1109","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0684-0591","authenticated-orcid":false,"given":"Shujuan","family":"Tian","sequence":"first","affiliation":[{"name":"School of Computer Science, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1590-2722","authenticated-orcid":false,"given":"Yi","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Computer Science, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4310-4623","authenticated-orcid":false,"given":"Han","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3192-6378","authenticated-orcid":false,"given":"Haolin","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science, Xiangtan University, Xiangtan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7804-0286","authenticated-orcid":false,"given":"Zhetao","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Jinan University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57959-7"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref3","article-title":"Federated learning: Strategies for improving communication efficiency","author":"Kone\u010dn\u00fd"},{"key":"ref4","article-title":"Attribute inference attack of speech emotion recognition in federated learning settings","author":"Feng","year":"2021"},{"key":"ref5","first-page":"14774","article-title":"Deep leakage from gradients","volume-title":"Proc. Neural Inf. Process. Syst.","author":"Zhu"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SMC42975.2020.9283102"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3037194"},{"key":"ref11","article-title":"Threats to pre-trained language models: Survey and taxonomy","author":"Guo","year":"2022"},{"key":"ref12","first-page":"291","article-title":"Ariann: Low-interaction privacy-preserving deep learning via function secret sharing","volume-title":"Proc. Privacy Enhanc. Technol.","volume":"2022","author":"Ryffel"},{"key":"ref13","first-page":"29 830","article-title":"Amplifying membership exposure via data poisoning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3216981"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833649"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3159236"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3446776"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP51992.2021.00025"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SCC55611.2022.00040"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10096675"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10095737"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10207-022-00646-y"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3236180"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3258255"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/216"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3264110"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3263507"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2023.3239007"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.08.062"},{"key":"ref30","article-title":"Central server free federated learning over single-sided trust social networks","author":"He","year":"2021"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3215574"},{"key":"ref32","article-title":"A novel model-based attribute inference attack in federated learning","author":"Driouich","year":"2022"},{"key":"ref33","volume-title":"Adversarial Examples Are Not Bugs, They Are Features","author":"Ilyas","year":"2019"},{"key":"ref34","first-page":"8675","article-title":"PUMA: Performance unchanged model augmentation for training data removal","volume-title":"Proc. AAAI Conf. Artif. Intell.","author":"Wu"},{"key":"ref35","first-page":"1522","article-title":"On the privacy properties of gan-generated samples","volume-title":"Proc. 24th Int. Conf. AISTATS","author":"Lin"},{"key":"ref37","article-title":"The MNIST database of handwritten digits","author":"LeCun","year":"1998"},{"key":"ref38","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref39","article-title":"ML-leaks: Model and data independent membership inference attacks and defenses on machine learning models","author":"Salem","year":"2018"},{"key":"ref40","article-title":"Membership inference attacks and defenses in supervised learning via generalization gap","author":"Li","year":"2020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102378"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2021.3088480"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3363201"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2903658"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3354211"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3560694"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583542"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3564625.3567986"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i10.28965"}],"container-title":["IEEE Transactions on Dependable and Secure Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/8858\/11077775\/10905054.pdf?arnumber=10905054","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,11]],"date-time":"2025-07-11T22:48:54Z","timestamp":1752274134000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10905054\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":49,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tdsc.2025.3545599","relation":{},"ISSN":["1545-5971","1941-0018","2160-9209"],"issn-type":[{"value":"1545-5971","type":"print"},{"value":"1941-0018","type":"electronic"},{"value":"2160-9209","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7]]}}}