most citedSecuring Federated Sensitive Topic Classification against Poisoning Attacks

16 citations · 16 across the 1 of their papers we have counts for

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cs.CR2022★ 16 cited

Securing Federated Sensitive Topic Classification against Poisoning Attacks

Tianyue Chu, Alvaro Garcia-Recuero, Costas Iordanou +2

We present a Federated Learning (FL) based solution for building a distributed classifier capable of detecting URLs containing GDPR-sensitive content related to categories such as…