{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T07:56:52Z","timestamp":1764835012342,"version":"3.46.0"},"reference-count":38,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"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":[[2025,8,26]]},"DOI":"10.1109\/pst65910.2025.11268877","type":"proceedings-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:40:04Z","timestamp":1764787204000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Per-Attribute Privacy in Large Language Models Using Matrix-Variate Gaussian Mechanism"],"prefix":"10.1109","author":[{"given":"Islam A.","family":"Monir","sequence":"first","affiliation":[{"name":"Hamad Bin Khalifa University,College of Science and Engineering,Doha,Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel","family":"Ghinita","sequence":"additional","affiliation":[{"name":"Hamad Bin Khalifa University,College of Science and Engineering,Doha,Qatar"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3712001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-68323-7_16"},{"key":"ref3","article-title":"Have it your way: Individualized privacy assignment for DP-SGD","volume":"36","author":"Boenisch","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243750"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"volume-title":"Programming Differential Privacy","year":"2023","author":"Joseph","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2017.11"},{"journal-title":"arXiv e-prints (2024) arXiv-2407","article-title":"Weights shuffling for improving dpsgd in transformer-based models","author":"Yang","key":"ref9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3576915.3616592"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177706964"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1978.tb01039.x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3093316"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00638"},{"article-title":"Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT","year":"2021","author":"Ravichandiran","key":"ref16"},{"key":"ref17","first-page":"937","article-title":"Less is more: Revisiting the gaussian mechanism for differential privacy","volume-title":"USENIX Security Symposium","author":"Ji"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D13-1170"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.6"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.491"},{"key":"ref21","first-page":"27131","article-title":"Deep learning with label differential privacy","volume":"34","author":"Ghazi","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref22","article-title":"Antipodes of label differential privacy: Pate and alibi","author":"Malek","year":"2021","journal-title":"ArXiv"},{"article-title":"On the pitfalls of label differential privacy","volume-title":"NeurIPS 2021 Workshop","author":"Medina","key":"ref23"},{"key":"ref24","article-title":"Improved matrix gaussian mechanism for differential privacy","volume":"abs\/2104.(14808)","author":"Yang","year":"2021","journal-title":"ArXiv"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113353"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-57454-7_48"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488825"},{"key":"ref28","first-page":"94","article-title":"A review of adaptive techniques and data management issues in dp-sgd","author":"Monir","year":"2023","journal-title":"Data Engineering"},{"key":"ref29","first-page":"24","article-title":"Erlingsson, Scalable private learning with PATE","author":"Papernot","year":"2018","journal-title":"ICLR 1050"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.56553\/popets-2023-0010"},{"key":"ref31","article-title":"LMO-DP: optimizing the randomization mechanism for differentially private fine-tuning (large) language models","volume":"abs\/2405.(18776)","author":"Yang","year":"2024","journal-title":"CoRR"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.554"},{"article-title":"Private fine-tuning of large language models with zeroth-order optimization","volume-title":"ICML 2024 Workshop on Foundation Models in the Wild","author":"Tang","key":"ref33"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/9.119632"},{"key":"ref35","article-title":"Differentially private finetuning of language models","author":"Yu","year":"2025","journal-title":"ICLR"},{"key":"ref36","first-page":"12208","article-title":"Large scale private learning via low-rank reparametrization","volume-title":"International Conference on Machine Learning","author":"Yu"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.337"},{"key":"ref38","article-title":"Attention Mechanism, Transformers, BERT, and GPT: Tutorial and Survey","author":"Ghojogh","year":"2020","journal-title":"working paper or preprint"}],"event":{"name":"2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)","start":{"date-parts":[[2025,8,26]]},"location":"Fredericton, NB, Canada","end":{"date-parts":[[2025,8,28]]}},"container-title":["2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11268482\/11268814\/11268877.pdf?arnumber=11268877","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T07:50:56Z","timestamp":1764834656000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11268877\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,26]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/pst65910.2025.11268877","relation":{},"subject":[],"published":{"date-parts":[[2025,8,26]]}}}