"DISBELIEVE: Distance Between Client Models is Very Essential for Effective ..."

Indu Joshi et al. (2023)

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DOI: 10.48550/ARXIV.2308.07387

access: open

type: Informal or Other Publication

metadata version: 2024-05-27

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  - journals/corr/abs-2308-07387
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  - https://dblp.org/rec/journals/corr/abs-2308-07387
Indu Joshi, Priyank Upadhya, Gaurav Kumar Nayak, Peter J. Schüffler, Nassir Navab:
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks. CoRR abs/2308.07387 (2023)

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