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1 Ergebnisse
1
Fed-Trace: An Efficient Model to Traceback Data Poisoning A..:
, In:
2023 IEEE International Carnahan Conference on Security Technology (ICCST)
,
Gupta, Harshit
;
Pareek, Pratyush
;
Arora, Anirudh
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICCST59048.2023.10474250
RT T1 <cTitle>2023 IEEE International Carnahan Conference on Security Technology (ICCST)</cTitle>: T1 <Title>Fed-Trace: An Efficient Model to Traceback Data Poisoning Attacks in Federated Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10474250&Exemplar=1&LAN=DE A1 Gupta, Harshit A1 Pareek, Pratyush A1 Arora, Anirudh A1 Kaur Maini, Muskan Deep A1 Bhukya, Ramesh Kumar A1 Vyas, O. P. A1 Puliafito, Antonio YR 2023 SN 2153-0742 K1 Training K1 Federated learning K1 Forensics K1 Training data K1 Collaboration K1 Clustering algorithms K1 Organizations K1 Federated Learning K1 Adversarial Attacks K1 Poisoning Attacks K1 Clustering K1 Clean-Label Attacks K1 Dirty-Label Attacks SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCST59048.2023.10474250 DO https://doi.org/10.1109/ICCST59048.2023.10474250 SF ELIB - SuUB Bremen
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