{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T05:11:14Z","timestamp":1735708274149,"version":"3.32.0"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,11,24]],"date-time":"2024-11-24T00:00:00Z","timestamp":1732406400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,24]],"date-time":"2024-11-24T00:00:00Z","timestamp":1732406400000},"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":[[2024,11,24]]},"DOI":"10.1109\/itw61385.2024.10806910","type":"proceedings-article","created":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:18:57Z","timestamp":1735586337000},"page":"31-36","source":"Crossref","is-referenced-by-count":0,"title":["On Local Mutual-Information Privacy"],"prefix":"10.1109","author":[{"given":"Khac-Hoang","family":"Ngo","sequence":"first","affiliation":[{"name":"Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,41296"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Johan","family":"\u00d6stman","sequence":"additional","affiliation":[{"name":"AI Sweden,Gothenburg,Sweden,41756"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandre Graell","family":"i Amat","sequence":"additional","affiliation":[{"name":"Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,41296"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artificial In te ll. Stat. (AISTATS)","volume":"54","author":"Mahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1561\/116.00000063"},{"key":"ref3","article-title":"Inverting gradients - how easy is it to break privacy in federated learning?","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst. (NeuRIPS), ser. NeuRIPS\u201920","author":"Geiping","year":"2020"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/11681878_14"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1561\/0400000042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1137\/090756090"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2013.53"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3087350"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978308"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2584610"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2020.3041733"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/11761679_29"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2016.2615632"},{"key":"ref16","first-page":"394","article-title":"Improving the Gaussian mechanism for differential privacy: Analytical calibration and optimal denoising","volume-title":"Proc. Int. Conf. Machine Learning (ICML)","author":"Balle","year":"2018"},{"key":"ref17","article-title":"Error probability analysis of binary asymmetric channels","author":"Moser","year":"2010","journal-title":"National Chiao Tung University, Taiwan, Tech. Rep."},{"journal-title":"On local mutual-information privacy","year":"2024","author":"Ngo","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/18.959289"},{"key":"ref20","first-page":"6280","article-title":"Privacy amplification by sub-sampling: Tight analyses via couplings and divergences","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst., ser. NIPS\u2019","volume":"18","author":"Balle","year":"2018"},{"volume-title":"Information Theory: From Coding to Learning","year":"2024","author":"Polyanskiy","key":"ref21"}],"event":{"name":"2024 IEEE Information Theory Workshop (ITW)","start":{"date-parts":[[2024,11,24]]},"location":"Shenzhen, China","end":{"date-parts":[[2024,11,28]]}},"container-title":["2024 IEEE Information Theory Workshop (ITW)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10806859\/10806904\/10806910.pdf?arnumber=10806910","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T06:39:23Z","timestamp":1735627163000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10806910\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,24]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/itw61385.2024.10806910","relation":{},"subject":[],"published":{"date-parts":[[2024,11,24]]}}}