On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy | Paper Citation Record

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This paper cites Federated Learning for Mobile Keyboard Prediction.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Federated Learning for Mobile Keyboard Prediction

Reference 1

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This paper cites Multi- institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Multi- institutional deep learning modeling without sharing patient data: A feasibility study on brain tumor segmentation,

Reference 2

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This paper cites A profit-maximizing data marketplace with differentially private federated learning under price competition,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy A profit-maximizing data marketplace with differentially private federated learning under price competition,

Reference 5

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This paper cites Federatedscope: A flexible federated learning platform for heterogeneity,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Federatedscope: A flexible federated learning platform for heterogeneity,

Reference 8

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This paper cites Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Comprehensive privacy analysis of deep learning: Passive and active white-box inference attacks against centralized and federated learning,

Reference 9

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This paper cites Maskcrypt: Federated learning with selective ho- momorphic encryption,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Maskcrypt: Federated learning with selective ho- momorphic encryption,

Reference 10

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This paper cites One parameter de- fense—defending against data inference attacks via differential privacy,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy One parameter de- fense—defending against data inference attacks via differential privacy,

Reference 11

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This paper cites Uldp-fl: Federated learning with across-silo user-level differential privacy,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Uldp-fl: Federated learning with across-silo user-level differential privacy,

Reference 12

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This paper cites User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization ,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization ,

Reference 13

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This paper cites Local and central differential privacy for robustness and privacy in federated learning,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Local and central differential privacy for robustness and privacy in federated learning,

Reference 14

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This paper cites PrivateFL: Accurate, differentially private federated learning via personalized data transformation,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy PrivateFL: Accurate, differentially private federated learning via personalized data transformation,

Reference 15

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Observation 40e96662-335d-4bb6-9763-0d20e79eda4b · outbound

This paper cites Ldp-fl: Practical private aggregation in federated learning with local differential privacy,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Ldp-fl: Practical private aggregation in federated learning with local differential privacy,

Reference 16

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This paper cites Deep learning with differential privacy,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Deep learning with differential privacy,

Reference 17

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This paper cites Data poisoning attacks against federated learning systems,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Data poisoning attacks against federated learning systems,

Reference 18

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This paper cites A novel data poisoning attack in federated learning based on inverted loss function,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy A novel data poisoning attack in federated learning based on inverted loss function,

Reference 19

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This paper cites Gan-driven data poisoning attacks and their mitiga- tion in federated learning systems,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Gan-driven data poisoning attacks and their mitiga- tion in federated learning systems,

Reference 20

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This paper cites Can You Really Backdoor Federated Learning?.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Can You Really Backdoor Federated Learning?

Reference 21

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This paper cites How to backdoor federated learning,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy How to backdoor federated learning,

Reference 22

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This paper cites Data poisoning attacks to local differential privacy protocols,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Data poisoning attacks to local differential privacy protocols,

Reference 23

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This paper cites Data poisoning attacks to locally differentially private frequent itemset mining protocols,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Data poisoning attacks to locally differentially private frequent itemset mining protocols,

Reference 24

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This paper cites Poisoning attacks to local differential privacy protocols for Key-Value data,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Poisoning attacks to local differential privacy protocols for Key-Value data,

Reference 25

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This paper cites Robustness of Locally Differentially Private Graph Analysis Against Poisoning.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Robustness of Locally Differentially Private Graph Analysis Against Poisoning

Reference 26

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This paper cites Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs ,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs ,

Reference 27

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This paper cites Ma- chine learning with adversaries: Byzantine tolerant gradient descent,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Ma- chine learning with adversaries: Byzantine tolerant gradient descent,

Reference 28

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 29

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This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Communication-Efficient Learning of Deep Networks from Decentralized Data,

Reference 30

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This paper cites Rappor: Randomized aggregatable privacy-preserving ordinal response,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Rappor: Randomized aggregatable privacy-preserving ordinal response,

Reference 31

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This paper cites Data poisoning attacks to local differential privacy protocols,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Data poisoning attacks to local differential privacy protocols,

Reference 32

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Fine-grained poisoning attack to local differential privacy protocols for mean and variance estimation,

Reference 33

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This paper cites Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Back to the drawing board: A critical evaluation of poisoning attacks on production federated learning,

Reference 34

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Gradient-based learning applied to document recognition,

Reference 35

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This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 36

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Learning multiple layers of features from tiny images,

Reference 37

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Vgg-s: Improved small sample image recog- nition model based on vgg16,

Reference 38

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Deep residual learning for image recognition,

Reference 39

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This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Opacus: User-Friendly Differential Privacy Library in PyTorch

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Robust Aggregation for Federated Learning,

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This paper cites Practical differentially private and byzantine-resilient federated learning,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Practical differentially private and byzantine-resilient federated learning,

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This paper cites Local differential privacy for federated learning.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Local differential privacy for federated learning

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Deep model poisoning attack on federated learning,

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On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Mpaf: Model poisoning attacks to federated learning based on fake clients,

Reference 45

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This paper cites Fedrecattack: Model poisoning attack to federated recommendation,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Fedrecattack: Model poisoning attack to federated recommendation,

Reference 46

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This paper cites Model poisoning attacks to federated learning via multi-round consistency,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Model poisoning attacks to federated learning via multi-round consistency,

Reference 47

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This paper cites Robfl: Robust federated learning via feature center separation and malicious center detection,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Robfl: Robust federated learning via feature center separation and malicious center detection,

Reference 48

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This paper cites Privacy and robustness in federated learning: Attacks and defenses,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Privacy and robustness in federated learning: Attacks and defenses,

Reference 49

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This paper cites Dp-gsgld: A bayesian optimizer inspired by differential privacy defending against privacy leakage in federated learning,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Dp-gsgld: A bayesian optimizer inspired by differential privacy defending against privacy leakage in federated learning,

Reference 50

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This paper cites Ldprecover: Recovering frequencies from poisoning attacks against local differential privacy,.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Ldprecover: Recovering frequencies from poisoning attacks against local differential privacy,

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This paper cites Available: https://doi.ieeecomputersociety.org/10.1109/ ICDE65448.2025.00079.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Available: https://doi.ieeecomputersociety.org/10.1109/ ICDE65448.2025.00079

Reference 1000

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This paper cites Available: https://api.semanticscholar.org/CorpusID: 18268744.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Available: https://api.semanticscholar.org/CorpusID: 18268744

Reference 2009

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This paper cites Available: https://doi.org/10.14778/3579075.3579081.

On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy Available: https://doi.org/10.14778/3579075.3579081

Reference 2023

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