"gradient inversion attacks" Papers

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A New Federated Learning Framework Against Gradient Inversion Attacks

Pengxin Guo, Shuang Zeng, Wenhao Chen et al.

AAAI 2025paperarXiv:2412.07187
8
citations

FedHide: Federated Learning by Hiding in the Neighbors

Hyunsin Park, Sungrack Yun

ECCV 2024arXiv:2409.07808

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.

AAAI 2024paperarXiv:2312.12488
3
citations

Recovering Labels from Local Updates in Federated Learning

Huancheng Chen, Haris Vikalo

ICML 2024arXiv:2405.00955
7
citations

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks

Lulu Xue, Shengshan Hu, Ruizhi Zhao et al.

AAAI 2024paperarXiv:2401.16687
8
citations

Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients

Yiming Chen, Xiangyu Yang, Nikos Deligiannis

ECCV 2024