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Surrogate Model Extension (SME): A Fast and Accurate Weight Update
  Attack on Federated Learning

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

31 May 2023
Junyi Zhu
Ruicong Yao
Matthew B. Blaschko
    FedML
ArXivPDFHTML

Papers citing "Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning"

4 / 4 papers shown
Title
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
Zhihao Zeng
Ziquan Fang
Wei Shao
Lu Chen
Yunjun Gao
FedML
66
0
0
08 May 2025
Improving Differentially Private SGD via Randomly Sparsified Gradients
Improving Differentially Private SGD via Randomly Sparsified Gradients
Junyi Zhu
Matthew B. Blaschko
35
5
0
01 Dec 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
312
1,852
0
14 Dec 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Tempered Sigmoid Activations for Deep Learning with Differential Privacy
Nicolas Papernot
Abhradeep Thakurta
Shuang Song
Steve Chien
Ulfar Erlingsson
AAML
147
178
0
28 Jul 2020
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