{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T18:02:42Z","timestamp":1772301762708,"version":"3.50.1"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:00:00Z","timestamp":1725667200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T00:00:00Z","timestamp":1725667200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100009839","name":"Idaho State University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009839","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,7]]},"DOI":"10.1109\/aibthings63359.2024.10863257","type":"proceedings-article","created":{"date-parts":[[2025,2,7]],"date-time":"2025-02-07T18:38:03Z","timestamp":1738953483000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Unraveling Model Inversion Attacks: A Survey of Machine Learning Vulnerabilities"],"prefix":"10.1109","author":[{"given":"Tanzim","family":"Mostafa","sequence":"first","affiliation":[{"name":"Idaho State University,Department of Computer Science,Pocatello,ID,USA,83209"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohamed I.","family":"Ibrahem","sequence":"additional","affiliation":[{"name":"Augusta University,School of Computer and Cyber Sciences,Augusta,GA,USA,30912"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mostafa M.","family":"Fouda","sequence":"additional","affiliation":[{"name":"Idaho State University,Department of Computer Science,Pocatello,ID,USA,83209"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref2","article-title":"Privacy leakage on DNNs: A survey of model inversion attacks and defenses","author":"Fang","year":"2024","journal-title":"arXiv preprint arXiv:2402.04013"},{"key":"ref3","article-title":"An indefensible attack: Label-only model inversion via conditional diffusion model","author":"Liu","year":"2023","journal-title":"arXiv preprint arXiv:2307.08424"},{"key":"ref4","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CSF57540.2023.00027"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30648-8_1"},{"key":"ref8","article-title":"PrivacyRaven: Privacy testing for deep learning","year":"2024"},{"key":"ref9","article-title":"AIJack: reveal the vulnerabilities of machine learning models","year":"2024"},{"key":"ref10","article-title":"Adversarial Robustness Toolbox (ART): Python library for machine learning security - evasion, poisoning, extraction, inference","year":"2024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP51992.2021.00025"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.61"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.709"},{"key":"ref15","first-page":"267","article-title":"The secret sharer: Evaluating and testing unintended memorization in neural networks","volume-title":"28 th USENIX security symposium (USENIX security 19)","author":"Carlini"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/516"},{"key":"ref17","article-title":"On strengthening and defending graph reconstruction attack with markov chain approximation","author":"Zhou","year":"2023","journal-title":"arXiv preprint arXiv:2306.09104"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134077"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.privatenlp-1.3"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417880"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3448891.3448939"},{"key":"ref22","first-page":"4543","article-title":"Inference attacks against graph neural networks","volume-title":"31st USENIX Security Symposium (USENIX Security 22)","author":"Zhang"},{"key":"ref23","first-page":"2669","article-title":"Stealing links from graph neural networks","volume-title":"30th USENIX security symposium (USENIX security 21)","author":"He"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833806"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01462"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025068"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2011.5981788"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909559"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2938759"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00033"},{"key":"ref34","article-title":"FedML-HE: An efficient homomorphic-encryption-based privacy-preserving federated learning system","author":"Jin","year":"2023","journal-title":"arXiv preprint arXiv:2303.10837"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.10.014"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3216981"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3207915"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539376"},{"key":"ref39","article-title":"Large-scale differentially private BERT","author":"Anil","year":"2021","journal-title":"arXiv preprint arXiv:2108.01624"},{"key":"ref40","first-page":"10697","article-title":"Deduplicating training data mitigates privacy risks in language models","volume-title":"International Conference on Machine Learning","author":"Kandpal"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.trustnlp-1.23"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.148"}],"event":{"name":"2024 IEEE 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)","location":"Mt Pleasant, MI, USA","start":{"date-parts":[[2024,9,7]]},"end":{"date-parts":[[2024,9,8]]}},"container-title":["2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10860733\/10861884\/10863257.pdf?arnumber=10863257","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,10]],"date-time":"2025-02-10T18:28:31Z","timestamp":1739212111000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10863257\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,7]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/aibthings63359.2024.10863257","relation":{},"subject":[],"published":{"date-parts":[[2024,9,7]]}}}