{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T13:24:58Z","timestamp":1773840298200,"version":"3.50.1"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001807","name":"National Science Foundation of China","doi-asserted-by":"publisher","award":["62141412,62272252,62272253"],"award-info":[{"award-number":["62141412,62272252,62272253"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191556","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-8","source":"Crossref","is-referenced-by-count":11,"title":["FedRRA: Reputation-Aware Robust Federated Learning against Poisoning Attacks"],"prefix":"10.1109","author":[{"given":"Liping","family":"Yi","sequence":"first","affiliation":[{"name":"College of C.S., ICIC, TMCC, SysNet, Nankai University,Nankai-Orange D.T. Joint Lab,Tianjin,China"}]},{"given":"Xiaorong","family":"Shi","sequence":"additional","affiliation":[{"name":"College of C.S., ICIC, TMCC, SysNet, Nankai University,Nankai-Orange D.T. Joint Lab,Tianjin,China"}]},{"given":"Wenrui","family":"Wang","sequence":"additional","affiliation":[{"name":"College of C.S., ICIC, TMCC, SysNet, Nankai University,Nankai-Orange D.T. Joint Lab,Tianjin,China"}]},{"given":"Gang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of C.S., ICIC, TMCC, SysNet, Nankai University,Nankai-Orange D.T. Joint Lab,Tianjin,China"}]},{"given":"Xiaoguang","family":"Liu","sequence":"additional","affiliation":[{"name":"College of C.S., ICIC, TMCC, SysNet, Nankai University,Nankai-Orange D.T. Joint Lab,Tianjin,China"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134012"},{"key":"ref35","first-page":"1","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018","journal-title":"CoRR vol abs\/1804 02767"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/978-3-030-63076-8_14","article-title":"Collaborative fairness in federated learning","volume":"12500","author":"lyu","year":"0","journal-title":"Federated Learning Privacy and Incentive ser Lecture Notes in Computer Science"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011544"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref36","first-page":"1","article-title":"Real-world image datasets for federated learning","author":"luo","year":"2019","journal-title":"CoRR vol abs\/1910 11089"},{"key":"ref31","first-page":"25","article-title":"FLGUARD: secure and private federated learning","volume":"2021","author":"nguyen","year":"2021","journal-title":"IACR Cryptol ePrint Arch"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2991079.2991125"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/1128817.1128824"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Fall49728.2020.9348439"},{"key":"ref10","first-page":"2938","article-title":"How to backdoor federated learning","volume":"108","author":"bagdasaryan","year":"0","journal-title":"Proc AISTATS"},{"key":"ref32","article-title":"LEAF: A benchmark for federated settings","author":"caldas","year":"2018","journal-title":"CoRR vol abs\/1812 01097"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61609-0_60"},{"key":"ref1","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume":"54","author":"mcmahan","year":"2017","journal-title":"Proc AISTATS"},{"key":"ref17","first-page":"14 747","article-title":"Deep leakage from gradients","author":"zhu","year":"2019","journal-title":"Proc NeurIPS"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref19","article-title":"Defending against backdoors in federated learning with robust learning rate","author":"ozdayi","year":"2020","journal-title":"CoRR vol abs\/2007 03767"},{"key":"ref18","first-page":"1","article-title":"idlg: Improved deep leakage from gradients","author":"zhao","year":"2020","journal-title":"CoRR vol abs\/2001 02610"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.11.126"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref26","first-page":"1605","article-title":"Local model poisoning attacks to byzantine-robust federated learning","author":"fang","year":"0","journal-title":"Proc Usenix Security"},{"key":"ref25","first-page":"5636","article-title":"Byzantine-robust distributed learning: Towards optimal statistical rates","volume":"80","author":"yin","year":"2018","journal-title":"Proc ICML"},{"key":"ref20","first-page":"1","article-title":"Abnormal client behavior detection in federated learning","author":"li","year":"2019","journal-title":"CoRR vol abs\/1910 09933"},{"key":"ref22","first-page":"1","article-title":"Mitigating sybils in federated learning poisoning","author":"fung","year":"2018","journal-title":"CoRR vol abs\/1808 04866"},{"key":"ref21","first-page":"8","article-title":"Poisoning attacks against support vector machines","author":"biggio","year":"2012","journal-title":"Proc ICML"},{"key":"ref28","first-page":"1","article-title":"Learning to detect malicious clients for robust federated learning","author":"li","year":"2020","journal-title":"CoRR vol abs\/2002 00211"},{"key":"ref27","article-title":"Fltrust: Byzantine-robust federated learning via trust bootstrapping","author":"cao","year":"2020","journal-title":"CoRR vol abs\/2012 13995"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2689746.2689747"},{"key":"ref8","first-page":"1","article-title":"Badnets: Identifying vulnerabilities in the machine learning model supply chain","author":"gu","year":"2017","journal-title":"CoRR vol abs\/1708 06733"},{"key":"ref7","first-page":"1","article-title":"Threats to federated learning: A survey","year":"2020","journal-title":"CoRR vol abs\/2003 02133"},{"key":"ref9","first-page":"8","article-title":"Poison frogs! targeted clean-label poisoning attacks on neural networks","author":"shafahi","year":"2018","journal-title":"Proc NeurIPS"},{"key":"ref4","first-page":"1","article-title":"Advances and open problems in federated learning","author":"kairouz","year":"2019","journal-title":"CoRR vol abs\/1912 04977"},{"key":"ref3","first-page":"25501","article-title":"QSFL: A two-level uplink communication optimization framework for federated learning","volume":"162","year":"2022","journal-title":"Proc ICML"},{"key":"ref6","article-title":"Privacy and robustness in federated learning: Attacks and defenses","author":"lyu","year":"2020","journal-title":"CoRR vol abs\/2012 06337"},{"key":"ref5","first-page":"119","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","author":"blanchard","year":"2017","journal-title":"Proc NeurlIPS"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","location":"Gold Coast, Australia","start":{"date-parts":[[2023,6,18]]},"end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191556.pdf?arnumber=10191556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:43:30Z","timestamp":1692639810000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191556","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}