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Client-specific Property Inference against Secure Aggregation in
  Federated Learning

Client-specific Property Inference against Secure Aggregation in Federated Learning

7 March 2023
Raouf Kerkouche
G. Ács
Mario Fritz
    FedML
ArXivPDFHTML

Papers citing "Client-specific Property Inference against Secure Aggregation in Federated Learning"

12 / 12 papers shown
Title
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
119
94
0
01 Feb 2022
A Federated Learning Aggregation Algorithm for Pervasive Computing:
  Evaluation and Comparison
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek
François Portet
P. Lalanda
Germán Vega
FedML
50
111
0
19 Oct 2021
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big
  Data in Industrial IoT
VFL: A Verifiable Federated Learning with Privacy-Preserving for Big Data in Industrial IoT
Anmin Fu
Xianglong Zhang
N. Xiong
Yansong Gao
Huaqun Wang
FedML
41
177
0
27 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems
Data Poisoning Attacks Against Federated Learning Systems
Vale Tolpegin
Stacey Truex
Mehmet Emre Gursoy
Ling Liu
FedML
101
646
0
16 Jul 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box
  Knowledge Transfer
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Hong Chang
Virat Shejwalkar
Reza Shokri
Amir Houmansadr
FedML
63
167
0
24 Dec 2019
Exploiting Unintended Feature Leakage in Collaborative Learning
Exploiting Unintended Feature Leakage in Collaborative Learning
Luca Melis
Congzheng Song
Emiliano De Cristofaro
Vitaly Shmatikov
FedML
128
1,461
0
10 May 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for
  Regression Learning
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning
Matthew Jagielski
Alina Oprea
Battista Biggio
Chang-rui Liu
Cristina Nita-Rotaru
Yue Liu
AAML
71
757
0
01 Apr 2018
Generalized Byzantine-tolerant SGD
Generalized Byzantine-tolerant SGD
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
AAML
63
256
0
27 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
D. Song
AAML
SILM
80
1,822
0
15 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
162
8,807
0
25 Aug 2017
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
134
2,854
0
14 Mar 2017
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
89
1,580
0
27 Jun 2012
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