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20172023
most citedImproving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features

19 citations · 52 across the 9 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Personalized Federated Learning via Heterogeneous Modular Networks

Tianchun Wang, Wei Cheng, Dongsheng Luo +5

Personalized Federated Learning (PFL) which collaboratively trains a federated model while considering local clients under privacy constraints has attracted much attention. Despite…

cs.LG2022★ 1 cited

FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification

Yulin Zhu, Liang Tong, Gaolei Li +2

Graph Neural Networks (GNNs) are vulnerable to data poisoning attacks, which will generate a poisoned graph as the input to the GNN models. We present FocusedCleaner as a poisoned…