Deep Model Poisoning Attack on Federated Learning

Federated learning is a novel distributed learning framework, which enables thousands of participants to collaboratively construct a deep learning model. In order to protect confidentiality of the training data, the shared information between server and participants are only limited to model paramet...

Full description

Saved in:

Bibliographic Details
Published in:	Future internet Vol. 13; no. 3; p. 73
Main Authors:	Zhou, Xingchen, Xu, Ming, Wu, Yiming, Zheng, Ning
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.03.2021
Subjects:	Algorithms Collaborative learning Data processing Datasets decentralized approach Deep learning Federated learning Internet Machine learning Mathematical models model poisoning attack Neural networks Optimization Parameter modification Poisoning Poisons Privacy Stealth technology
ISSN:	1999-5903, 1999-5903
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Federated learning is a novel distributed learning framework, which enables thousands of participants to collaboratively construct a deep learning model. In order to protect confidentiality of the training data, the shared information between server and participants are only limited to model parameters. However, this setting is vulnerable to model poisoning attack, since the participants have permission to modify the model parameters. In this paper, we perform systematic investigation for such threats in federated learning and propose a novel optimization-based model poisoning attack. Different from existing methods, we primarily focus on the effectiveness, persistence and stealth of attacks. Numerical experiments demonstrate that the proposed method can not only achieve high attack success rate, but it is also stealthy enough to bypass two existing defense methods.
AbstractList	Federated learning is a novel distributed learning framework, which enables thousands of participants to collaboratively construct a deep learning model. In order to protect confidentiality of the training data, the shared information between server and participants are only limited to model parameters. However, this setting is vulnerable to model poisoning attack, since the participants have permission to modify the model parameters. In this paper, we perform systematic investigation for such threats in federated learning and propose a novel optimization-based model poisoning attack. Different from existing methods, we primarily focus on the effectiveness, persistence and stealth of attacks. Numerical experiments demonstrate that the proposed method can not only achieve high attack success rate, but it is also stealthy enough to bypass two existing defense methods.
Author	Zhou, Xingchen Xu, Ming Zheng, Ning Wu, Yiming
Author_xml	– sequence: 1 givenname: Xingchen surname: Zhou fullname: Zhou, Xingchen – sequence: 2 givenname: Ming orcidid: 0000-0001-9332-5258 surname: Xu fullname: Xu, Ming – sequence: 3 givenname: Yiming surname: Wu fullname: Wu, Yiming – sequence: 4 givenname: Ning surname: Zheng fullname: Zheng, Ning
BookMark	eNptUE1LAzEQDVLBqr34Cxa8CavJZvN1LNVqoaIHPYdsMimp66Zm04P_3q1VFHEuM8y893jzjtGoix0gdEbwJaUKX_lAKKYYC3qAxkQpVTKF6ejXfIQmfb_GQ1FVcS7GiFwDbIr76KAtHmPoYxe6VTHN2diXInbFHBwkk8EVSzBpdzxFh960PUy--gl6nt88ze7K5cPtYjZdlrauRC4ZqY2TsqkcFdw61wjPHK89ExwsZ4xW1vuGs0Yy5YFTSxtcM0m54LVSuKEnaLHXddGs9SaFV5PedTRBfy5iWmmTcrAt6OE_ajn2nipfGyalwjXBVggDDWFgBq3zvdYmxbct9Fmv4zZ1g31dMVxJSYXkAwrvUTbFvk_gtQ3Z5BC7nExoNcF6l7P-yXmgXPyhfBv9B_wBJzV8UA
CitedBy_id	crossref_primary_10_1109_TAI_2023_3280155 crossref_primary_10_1016_j_cosrev_2024_100685 crossref_primary_10_1007_s40747_024_01664_0 crossref_primary_10_1007_s40747_025_02009_1 crossref_primary_10_3390_s21113922 crossref_primary_10_1016_j_compeleceng_2024_109233 crossref_primary_10_3390_app14188490 crossref_primary_10_1016_j_comcom_2023_05_004 crossref_primary_10_1002_widm_70034 crossref_primary_10_1016_j_comnet_2024_110841 crossref_primary_10_1007_s11227_025_07619_7 crossref_primary_10_3390_sym17060969 crossref_primary_10_3390_electronics14010129 crossref_primary_10_1016_j_engappai_2023_105888 crossref_primary_10_1007_s10115_025_02339_z crossref_primary_10_3390_electronics12143182 crossref_primary_10_1109_TII_2021_3116037 crossref_primary_10_1109_TNNLS_2025_3563537 crossref_primary_10_1049_stg2_12191 crossref_primary_10_3390_s22020450 crossref_primary_10_1016_j_comnet_2023_109712 crossref_primary_10_1109_ACCESS_2025_3584948 crossref_primary_10_1016_j_softx_2024_101765 crossref_primary_10_3390_electronics12122703 crossref_primary_10_1016_j_future_2022_03_003 crossref_primary_10_1007_s11277_024_11372_0 crossref_primary_10_1016_j_neucom_2025_129424 crossref_primary_10_1145_3703631 crossref_primary_10_1080_08839514_2022_2037254 crossref_primary_10_1109_ACCESS_2021_3118926 crossref_primary_10_3390_fi16100374 crossref_primary_10_1007_s12083_024_01794_9 crossref_primary_10_1016_j_asoc_2024_111519 crossref_primary_10_3390_electronics12051190 crossref_primary_10_1016_j_heliyon_2024_e38137 crossref_primary_10_1007_s10586_024_04810_y crossref_primary_10_1080_17445760_2025_2521662 crossref_primary_10_1109_TAI_2023_3314398 crossref_primary_10_1016_j_cose_2024_103801 crossref_primary_10_1016_j_iotcps_2023_04_001 crossref_primary_10_3390_bdcc6040127 crossref_primary_10_1016_j_future_2022_12_032 crossref_primary_10_1016_j_jnca_2025_104165 crossref_primary_10_1109_ACCESS_2023_3304541 crossref_primary_10_3390_math12233751 crossref_primary_10_1016_j_cose_2023_103205 crossref_primary_10_1016_j_jisa_2024_103744 crossref_primary_10_1080_08839514_2024_2410504 crossref_primary_10_1186_s42400_024_00295_9 crossref_primary_10_1016_j_comnet_2024_110383 crossref_primary_10_1109_JIOT_2025_3531117 crossref_primary_10_1109_JIOT_2024_3452549 crossref_primary_10_1109_MNET_2024_3486228 crossref_primary_10_1109_TIFS_2024_3379852 crossref_primary_10_1016_j_compeleceng_2024_109893 crossref_primary_10_1007_s10462_021_10098_w crossref_primary_10_1109_ACCESS_2024_3380167 crossref_primary_10_1016_j_engappai_2023_107166 crossref_primary_10_1109_TIFS_2024_3516567 crossref_primary_10_1007_s11042_023_16050_0 crossref_primary_10_3390_bioengineering10080965 crossref_primary_10_1016_j_jisa_2025_104127 crossref_primary_10_1016_j_knosys_2022_108588 crossref_primary_10_1109_ACCESS_2023_3269980 crossref_primary_10_1145_3678571 crossref_primary_10_3390_app122111053 crossref_primary_10_1007_s10462_024_10796_1 crossref_primary_10_1049_cmu2_12686 crossref_primary_10_1016_j_inffus_2025_103292 crossref_primary_10_1109_TVT_2024_3456852 crossref_primary_10_1109_COMST_2023_3317242 crossref_primary_10_1145_3691625 crossref_primary_10_1109_TSC_2025_3536312 crossref_primary_10_1016_j_csi_2023_103723 crossref_primary_10_1109_ACCESS_2023_3238823 crossref_primary_10_1002_int_22777 crossref_primary_10_26599_BDMA_2024_9020035 crossref_primary_10_1016_j_rineng_2024_103295 crossref_primary_10_1109_OJCOMS_2024_3449563
Cites_doi	10.1109/SP.2018.00057 10.1145/2810103.2813687 10.1145/3128572.3140451 10.1109/TSP.2020.3012952 10.1109/ICCV.2017.368 10.1109/CVPR.2016.90 10.1109/ICASSP40776.2020.9053448 10.1109/CVPR.2019.01151 10.1073/pnas.1611835114 10.1609/aaai.v29i1.9569 10.1145/3219617.3219655 10.1145/3366423.3380072 10.1016/1049-9660(92)90003-L 10.14722/ndss.2021.24434 10.1145/3394486.3403298 10.1145/3298981 10.1609/aaai.v35i8.16849 10.1109/ACCESS.2019.2909068
ContentType	Journal Article
Copyright	2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: 2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID	AAYXX CITATION 3V. 7SC 7WY 7WZ 7XB 87Z 8AL 8FD 8FE 8FG 8FK 8FL ABUWG AFKRA ARAPS AZQEC BENPR BEZIV BGLVJ CCPQU DWQXO FRNLG F~G GNUQQ HCIFZ JQ2 K60 K6~ K7- L.- L7M L~C L~D M0C M0N P5Z P62 PHGZM PHGZT PIMPY PKEHL PQBIZ PQBZA PQEST PQGLB PQQKQ PQUKI Q9U DOA
DOI	10.3390/fi13030073
DatabaseName	CrossRef ProQuest Central (Corporate) Computer and Information Systems Abstracts ProQuest ABI/INFORM Collection ABI/INFORM Global (PDF only) ProQuest Central (purchase pre-March 2016) ABI/INFORM Collection Computing Database (Alumni Edition) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Central (Alumni) (purchase pre-March 2016) ABI/INFORM Collection (Alumni) ProQuest Central (Alumni) ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials ProQuest Central Business Premium Collection Technology collection ProQuest One Community College ProQuest Central Business Premium Collection (Alumni) ABI/INFORM Global (Corporate) ProQuest Central Student ProQuest SciTech Premium Collection ProQuest Computer Science Collection ProQuest Business Collection (Alumni Edition) ProQuest Business Collection Computer Science Database ABI/INFORM Professional Advanced Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ABI/INFORM Global Computing Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Business ProQuest One Business (Alumni) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central Basic DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef Publicly Available Content Database ABI/INFORM Global (Corporate) ProQuest Business Collection (Alumni Edition) ProQuest One Business Computer Science Database ProQuest Central Student Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ABI/INFORM Complete ProQuest Central ABI/INFORM Professional Advanced ProQuest One Applied & Life Sciences ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace ABI/INFORM Complete (Alumni Edition) Advanced Technologies & Aerospace Collection Business Premium Collection ABI/INFORM Global ProQuest Computing ABI/INFORM Global (Alumni Edition) ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest One Academic Eastern Edition ProQuest Technology Collection ProQuest SciTech Collection ProQuest Business Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest One Academic UKI Edition ProQuest One Business (Alumni) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) Business Premium Collection (Alumni)
DatabaseTitleList	CrossRef Publicly Available Content Database
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1999-5903
ExternalDocumentID	oai_doaj_org_article_1993c60ff39f4a58890410c77aeb15ea 10_3390_fi13030073
GroupedDBID	-DT .4I 5VS 7WY 8FE 8FG 8FL AADQD AAFWJ AAKPC AAYXX ABDBF ABUWG ACIHN ADBBV ADMLS AEAQA AFFHD AFKRA AFPKN AFZYC ALMA_UNASSIGNED_HOLDINGS ARAPS AZQEC BCNDV BENPR BEZIV BGLVJ BPHCQ CCPQU CITATION DWQXO E3Z EAP EBS EJD ESX FRNLG GNUQQ GROUPED_DOAJ HCIFZ IAO K60 K6V K6~ K7- KQ8 M0C MODMG M~E OK1 P62 PHGZM PHGZT PIMPY PQBIZ PQBZA PQGLB PQQKQ PROAC RNS TR2 3V. 7SC 7XB 8AL 8FD 8FK ACUHS JQ2 L.- L7M L~C L~D M0N PKEHL PQEST PQUKI Q9U
ID	FETCH-LOGICAL-c427t-514ad88b2d376cddb7f5d64f576ec65532cffb65b859fe63c3b045836764990b3
IEDL.DBID	DOA
ISICitedReferencesCount	108
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000633689600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1999-5903
IngestDate	Tue Oct 14 18:42:30 EDT 2025 Fri Jul 25 22:53:00 EDT 2025 Tue Nov 18 21:16:55 EST 2025 Sat Nov 29 07:14:48 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	3
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c427t-514ad88b2d376cddb7f5d64f576ec65532cffb65b859fe63c3b045836764990b3
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0001-9332-5258
OpenAccessLink	https://doaj.org/article/1993c60ff39f4a58890410c77aeb15ea
PQID	2502883786
PQPubID	2032396
ParticipantIDs	doaj_primary_oai_doaj_org_article_1993c60ff39f4a58890410c77aeb15ea proquest_journals_2502883786 crossref_citationtrail_10_3390_fi13030073 crossref_primary_10_3390_fi13030073
PublicationCentury	2000
PublicationDate	2021-03-01
PublicationDateYYYYMMDD	2021-03-01
PublicationDate_xml	– month: 03 year: 2021 text: 2021-03-01 day: 01
PublicationDecade	2020
PublicationPlace	Basel
PublicationPlace_xml	– name: Basel
PublicationTitle	Future internet
PublicationYear	2021
Publisher	MDPI AG
Publisher_xml	– name: MDPI AG
References	ref_14 ref_36 ref_35 ref_12 ref_34 Zbontar (ref_42) 2016; 17 ref_11 ref_33 ref_10 ref_32 ref_31 ref_30 ref_18 ref_17 ref_16 ref_38 ref_37 ref_25 ref_24 Wu (ref_19) 2020; 68 ref_23 ref_45 Li (ref_15) 2020; 37 ref_22 Kirkpatrick (ref_40) 2017; 114 ref_44 ref_21 ref_43 ref_20 ref_41 Yang (ref_13) 2019; 10 Williams (ref_39) 1992; 55 ref_1 ref_3 ref_2 ref_29 ref_28 ref_27 ref_26 ref_9 ref_8 ref_5 ref_4 ref_7 Gu (ref_6) 2019; 7
References_xml	– ident: ref_7 – ident: ref_11 doi: 10.1109/SP.2018.00057 – ident: ref_9 – ident: ref_5 – ident: ref_23 doi: 10.1145/2810103.2813687 – ident: ref_3 – ident: ref_10 doi: 10.1145/3128572.3140451 – ident: ref_24 – ident: ref_26 – ident: ref_34 – volume: 68 start-page: 4583 year: 2020 ident: ref_19 article-title: Federated variance-reduced stochastic gradient descent with robustness to byzantine attacks publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2020.3012952 – ident: ref_35 doi: 10.1109/ICCV.2017.368 – ident: ref_43 doi: 10.1109/CVPR.2016.90 – ident: ref_27 doi: 10.1109/ICASSP40776.2020.9053448 – ident: ref_16 – ident: ref_37 – ident: ref_14 – ident: ref_1 – ident: ref_18 – ident: ref_38 doi: 10.1109/CVPR.2019.01151 – volume: 114 start-page: 3521 year: 2017 ident: ref_40 article-title: Overcoming catastrophic forgetting in neural networks publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1611835114 – ident: ref_30 doi: 10.1609/aaai.v29i1.9569 – ident: ref_21 – ident: ref_12 doi: 10.1145/3219617.3219655 – volume: 37 start-page: 50 year: 2020 ident: ref_15 article-title: Federated learning: Challenges, methods, and future directions publication-title: IEEE Signal Process. Mag. – ident: ref_8 – ident: ref_25 – ident: ref_4 – ident: ref_31 – ident: ref_29 – ident: ref_33 – ident: ref_2 – ident: ref_32 doi: 10.1145/3366423.3380072 – volume: 55 start-page: 14 year: 1992 ident: ref_39 article-title: A fast algorithm for active contours and curvature estimation publication-title: CVGIP Image Underst. doi: 10.1016/1049-9660(92)90003-L – ident: ref_44 doi: 10.14722/ndss.2021.24434 – ident: ref_28 doi: 10.1145/3394486.3403298 – ident: ref_41 – volume: 10 start-page: 12:1 year: 2019 ident: ref_13 article-title: Federated Machine Learning: Concept and Applications publication-title: ACM Trans. Intell. Syst. Technol. doi: 10.1145/3298981 – ident: ref_17 – ident: ref_36 – ident: ref_22 – ident: ref_20 – volume: 17 start-page: 2287 year: 2016 ident: ref_42 article-title: Stereo matching by training a convolutional neural network to compare image patches publication-title: J. Mach. Learn. Res. – ident: ref_45 doi: 10.1609/aaai.v35i8.16849 – volume: 7 start-page: 47230 year: 2019 ident: ref_6 article-title: BadNets: Evaluating Backdooring Attacks on Deep Neural Networks publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2909068
SSID	ssj0000392667
Score	2.554143
Snippet	Federated learning is a novel distributed learning framework, which enables thousands of participants to collaboratively construct a deep learning model. In...
SourceID	doaj proquest crossref
SourceType	Open Website Aggregation Database Enrichment Source Index Database
StartPage	73
SubjectTerms	Algorithms Collaborative learning Data processing Datasets decentralized approach Deep learning Federated learning Internet Machine learning Mathematical models model poisoning attack Neural networks Optimization Parameter modification Poisoning Poisons Privacy Stealth technology
SummonAdditionalLinks	– databaseName: Computer Science Database dbid: K7- link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1LSwMxEA5aPejBt1itsqAXD6H7yGtPUh9FUEoPCr0t2TyKWHZru_r7zWzTVlG8eM0OYZlJ5pEZvg-hi9BSQyy1WLpwgAlTGrvkSOPESCJiDbwoNWT-I-_1xGCQ9v2D29SPVc59Yu2odangjbztQjUQ43LBrsZvGFijoLvqKTRW0VoUxxGc8weOF28soQv-jPEZKmniqvu2fQGfDe2pb3Gohuv_4Y3rENPd_u_P7aAtn1wGndlp2EUrpthDm18gB_dRdGvMOAAGtFHQL2GUyC0HnaqS6jUoi6AL4BIu_9SBR14dHqDn7t3TzT32tAlYkZhX2KVAUguRg6ad7nXOLdXMGYQzoxilSayszRnNBU2tYYlK8rp7yjhz5U-YJ4eoUZSFOUIBsNDnmsaSy4i4zVyxFmuqEsJzolKhmuhyrsRMeUxxoLYYZa62AIVnS4U30flCdjxD0vhV6hpssZAA9Ot6oZwMM3-ZMhg6VCy0NkktkVSINCRRqDiXLvJQI5uoNTdT5q_kNFva6PjvzydoI4bBlXrQrIUa1eTdnKJ19VG9TCdn9Qn7BEOp144 priority: 102 providerName: ProQuest
Title	Deep Model Poisoning Attack on Federated Learning
URI	https://www.proquest.com/docview/2502883786 https://doaj.org/article/1993c60ff39f4a58890410c77aeb15ea
Volume	13
WOSCitedRecordID	wos000633689600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: DOA dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: M~E dateStart: 20090101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: ABI/INFORM Global customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: M0C dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/abiglobal providerName: ProQuest – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: P5Z dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: K7- dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest ABI/INFORM Collection customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: 7WY dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/abicomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1999-5903 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000392667 issn: 1999-5903 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8NAEB60etCD-MT6KAG9eAimyb5y9NGiqCWIYuslJPuQYknFRn-_s5tUKwpevOxhMyThm2TmG3b4BuAwMFQTQ42fYTrwCZPKR3Kk_EhnRITKzkVxkvnXvNcT_X6czIz6sj1hlTxwBdyxbTCTLDAmig3JqBBxQNqB5DzDKEO1o0bIemaKKReDMe0zxis90gjr-mMztNHaHkx9y0BOqP9HHHbJpbsKKzUr9E6qt1mDOV2sw_KMVuAGtM-1fvHs6LKRl4xtDxBueydlmclnb1x4XasKgcRRebVk6tMm3Hc7d2cXfj3vwJck5KWP3CVTQuQWIgRN5dxQxRBJzrRklEahNCZnNBc0NppFMsrdsSfjDOuWII-2oFGMC70Nnh0fnysaZjxrE7wZVlmhojIiPCcyFrIJR1MMUlmLgduZFKMUiwKLV_qFVxMOPm1fKgmMX61OLZSfFla22m2gM9PamelfzmzC3tQRaf0vTVIkaXYkMhds5z-esQtLoe1LcX1ke9AoX9_0PizK93I4eW3BPH8YtGDhtNNLblvuo8L1ivu43gRnuCb0Ea8nlzfJ4AOEsNB6
linkProvider	Directory of Open Access Journals
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1LTxRBEK4gmIgH8YFhFbQT9eBhwuz0cw7GILiBsG44YMJt7OkHIZKddXeU8Kf8jVbNziwQiTcOXnsqncpUTT26a74P4G0aZRBRxsRiOkiEcj7B4sgnPFhhMk-8KA1k_lCPRubkJD9agt_dvzA0VtnFxCZQ-8rRGfk2pmoixtVGfZz8SIg1im5XOwqNuVschssLbNlmHw720L7vsmzw-Xh3P2lZBRInMl0nWCFYb0xJiqBqvtRReoX6ahWckpJnLsZSydLIPAbFHS-by0WlFXYHaclx33uwIgR-DjQqmO4uznRSLDaU0nMUVM7zdDueUY6g67Abea-hB_gr-jcpbbD2v72Mx_CoLZ7Zztzbn8BSGD-Fh9cgFZ9Bfy-ECSOGt3N2VNGoFC6znbq27jurxmxA4BlYX3vWIsuersPXO9H5OSyPq3HYAIateF56mVlt-wI3w2Y089JxoUvhcuN68L4zWuFazHSi7jgvsHciAxdXBu7Bm4XsZI4UcqvUJ7L9QoLQvZuFanpatMGioKFKp9IYeR6FlcbkqeinTmuLmVUG24PNzi2KNuTMiiufePHvx6_hwf7xl2ExPBgdvoTVjIZ0mqG6TViupz_DFtx3v-qz2fRV490Mvt21B_0B0s40Nw
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VghAceBYRKLAScOCwiuN9-oBQIURUqaIcQOrNrPdRVVRxSAyIv8avY8axUxCIWw9c7dVq5J2db2Z3_H0Az7KkokwqcYdwwKX2gWNyFLiITto8kC5KS5l_ZGYze3xczHfgR_8vDLVV9jGxDdSh9nRGPkSoJmFcY_UwdW0R8_Hk1fIzJwUpumnt5TQ2LjKN379h-bZ-eTjGtX6e55O379-8453CAPcyNw3HbMEFaysyCs0MlUkqaLTd6Oi1UiL3KVVaVVYVKWrhRdVeNGqjsVLIKoHzXoLLiMKK9tjU8O35ToaJh9Zmw4gqRJEN0ynhBV2N_YaBrVTAH0jQwtvk5v_8YW7BjS6pZgebXXAbduLiDlz_hWrxLozGMS4ZKb-dsXlNLVT4mB00jfOfWL1gEyLVwLw7sI5x9mQPPlyIzfdgd1Ev4n1gWKIXVVC5M24kcTIsUvOgvJCmkr6wfgAv-gUsfcelTpIeZyXWVLTY5fliD-DpduxywyDy11GvyQ-2I4j1u31Qr07KLoiU1GzpdZaSKJJ0ytoik6PMG-MQcVV0A9jvXaTsQtG6PPePB_9-_QSuouOUR4ez6UO4llPvTttrtw-7zepLfARX_NfmdL163Do6g48X7UA_AetfPN0
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Deep+Model+Poisoning+Attack+on+Federated+Learning&rft.jtitle=Future+internet&rft.au=Xingchen+Zhou&rft.au=Ming+Xu&rft.au=Yiming+Wu&rft.au=Ning+Zheng&rft.date=2021-03-01&rft.pub=MDPI+AG&rft.eissn=1999-5903&rft.volume=13&rft.issue=3&rft.spage=73&rft_id=info:doi/10.3390%2Ffi13030073&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_1993c60ff39f4a58890410c77aeb15ea
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1999-5903&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1999-5903&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1999-5903&client=summon