{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T22:46:26Z","timestamp":1770417986340,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100010663","name":"H2020 European Research Council","doi-asserted-by":"publisher","award":["957197"],"award-info":[{"award-number":["957197"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"DOI":"10.1145\/3477114.3488763","type":"proceedings-article","created":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T16:11:57Z","timestamp":1634919117000},"page":"10-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["GradSec"],"prefix":"10.1145","author":[{"given":"Aghiles Ait","family":"Messaoud","sequence":"first","affiliation":[{"name":"Ecole Nationale Sup\u00e9rieure d'Informatique, Algeria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonia Ben","family":"Mokhtar","sequence":"additional","affiliation":[{"name":"University of Lyon, LIRIS, CNRS, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vlad","family":"Nitu","sequence":"additional","affiliation":[{"name":"University of Lyon, LIRIS, CNRS, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Valerio","family":"Schiavoni","sequence":"additional","affiliation":[{"name":"University of Neuch\u00e2tel, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,25]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICEngTechnol.2017.8308186"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_25"},{"issue":"86","key":"e_1_3_2_1_4_1","first-page":"1","volume":"2016","author":"Costan Victor","year":"2016","unstructured":"Victor Costan and Srinivas Devadas . Intel sgx explained. IACR Cryptol . e Print Arch. , 2016 ( 86 ): 1 -- 118 , 2016 . Victor Costan and Srinivas Devadas. Intel sgx explained. IACR Cryptol. ePrint Arch., 2016(86):1--118, 2016.","journal-title":"Print Arch."},{"key":"e_1_3_2_1_5_1","volume-title":"Feedforward neural network methodology","author":"Fine Terrence L","year":"2006","unstructured":"Terrence L Fine . Feedforward neural network methodology . Springer Science & Business Media , 2006 . Terrence L Fine. Feedforward neural network methodology. Springer Science & Business Media, 2006."},{"key":"e_1_3_2_1_7_1","volume-title":"Amd memory encryption. White paper","author":"Kaplan David","year":"2016","unstructured":"David Kaplan , Jeremy Powell , and Tom Woller . Amd memory encryption. White paper , 2016 . David Kaplan, Jeremy Powell, and Tom Woller. Amd memory encryption. White paper, 2016."},{"key":"e_1_3_2_1_8_1","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky Alex","year":"2009","unstructured":"Alex Krizhevsky , Geoffrey Hinton , Learning multiple layers of features from tiny images . 2009 . Alex Krizhevsky, Geoffrey Hinton, et al. Learning multiple layers of features from tiny images. 2009."},{"key":"e_1_3_2_1_9_1","volume-title":"https:\/\/colab.research.google.com\/gist\/Lyken17\/91b81526a8245a028d4f85ccc9191884\/deep-leakage-from-gradients.ipynb#scrollTo=AorI020iVjjS","author":"Ligeng Zhu Song Han","year":"2019","unstructured":"Song Han Ligeng Zhu , Zhijian Liu . https:\/\/colab.research.google.com\/gist\/Lyken17\/91b81526a8245a028d4f85ccc9191884\/deep-leakage-from-gradients.ipynb#scrollTo=AorI020iVjjS , 2019 . Song Han Ligeng Zhu, Zhijian Liu. https:\/\/colab.research.google.com\/gist\/Lyken17\/91b81526a8245a028d4f85ccc9191884\/deep-leakage-from-gradients.ipynb#scrollTo=AorI020iVjjS, 2019."},{"key":"e_1_3_2_1_10_1","first-page":"519","volume-title":"Ijcai","volume":"3","author":"Ling Charles X","year":"2003","unstructured":"Charles X Ling , Jin Huang , Harry Zhang , : a statistically consistent and more discriminating measure than accuracy . In Ijcai , volume 3 , pages 519 -- 524 , 2003 . Charles X Ling, Jin Huang, Harry Zhang, et al. Auc: a statistically consistent and more discriminating measure than accuracy. In Ijcai, volume 3, pages 519--524, 2003."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386901.3388946"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"e_1_3_2_1_14_1","volume-title":"Demystifying arm trustzone: A comprehensive survey. ACM Computing Surveys (CSUR), 51(6):1--36","author":"Pinto Sandro","year":"2019","unstructured":"Sandro Pinto and Nuno Santos . Demystifying arm trustzone: A comprehensive survey. ACM Computing Surveys (CSUR), 51(6):1--36 , 2019 . Sandro Pinto and Nuno Santos. Demystifying arm trustzone: A comprehensive survey. ACM Computing Surveys (CSUR), 51(6):1--36, 2019."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/Trustcom.2015.357"},{"key":"e_1_3_2_1_16_1","volume-title":"https:\/\/github.com\/csong27\/property-inference-collaborative-ml","author":"Song Congzheng","year":"2018","unstructured":"Congzheng Song . https:\/\/github.com\/csong27\/property-inference-collaborative-ml , 2018 . Congzheng Song. https:\/\/github.com\/csong27\/property-inference-collaborative-ml, 2018."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"e_1_3_2_1_18_1","volume-title":"Deep leakage from gradients","author":"Zhu Ligeng","year":"2019","unstructured":"Ligeng Zhu , Zhijian Liu , and Song Han . Deep leakage from gradients , 2019 . Ligeng Zhu, Zhijian Liu, and Song Han. Deep leakage from gradients, 2019."}],"event":{"name":"SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles","location":"Virtual Event Germany","acronym":"SOSP '21","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems","USENIX Assoc USENIX Assoc"]},"container-title":["Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477114.3488763","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477114.3488763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:49:15Z","timestamp":1750193355000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477114.3488763"}},"subtitle":["a TEE-based Scheme Against Federated Learning Inference Attacks"],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":17,"alternative-id":["10.1145\/3477114.3488763","10.1145\/3477114"],"URL":"https:\/\/doi.org\/10.1145\/3477114.3488763","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]},"assertion":[{"value":"2021-10-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}