most citedVFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2024★ 1 cited

VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification

Yungi Cho, Woorim Han, Miseon Yu +3

Vertical Federated Learning (VFL) focuses on handling vertically partitioned data over FL participants. Recent studies have discovered a significant vulnerability in VFL to backdoo…

cs.AI2024

Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices

Younghan Lee, Sohee Jun, Yungi Cho +3

With growing popularity, deep learning (DL) models are becoming larger-scale, and only the companies with vast training datasets and immense computing power can manage their busine…

cs.LG2024

FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models

Younghan Lee, Yungi Cho, Woorim Han +2

Federated Learning (FL) thrives in training a global model with numerous clients by only sharing the parameters of their local models trained with their private training datasets.…