Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022

15 July 2022

Naif Alkhunaizi

Dmitry Kamzolov

Karthik Nandakumar

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Papers citing "Suppressing Poisoning Attacks on Federated Learning for Medical Imaging"

4 / 4 papers shown

Title
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised DefenseEuropean Conference on Computer Vision (ECCV), 2024 Jeremy A. Styborski Mingzhi Lyu Yunpeng Huang Adams Kong 292 1 0 13 Sep 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data Michalis Pistos Gang Li Weili Lin Dinggang Shen I. Rekik 207 1 0 01 Jan 2024
DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks Indu Joshi Priya Upadhya Gaurav Kumar Nayak Peter Schuffler Nassir Navab AAML FedML 143 0 0 14 Aug 2023
Federated Learning for Medical Image Analysis: A SurveyPattern Recognition (Pattern Recogn.), 2023 Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 400 246 0 09 Jun 2023