Secure-CHG introduces a cascaded defense with statistical filtering early and CHG-Shapley valuation later to mitigate late-stage failure against backdoor attacks in federated learning, reporting 2.3x and 2.0x lower attack success rates than Krum and Trimmed Mean on CIFAR-10, MedMNIST, and NEU-SDDB.
Data poisoning attacks against federated learning systems,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A contrastive learning transformer embeds network flow sequences to enable correlation clustering that groups scanner sources consistently with labels.
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Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data
A contrastive learning transformer embeds network flow sequences to enable correlation clustering that groups scanner sources consistently with labels.