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MIA-BAD: An Approach for Enhancing Membership Inference Attack and its
  Mitigation with Federated Learning

MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning

28 November 2023
Soumya Banerjee
Sandip Roy
Sayyed Farid Ahamed
Devin Quinn
Marc Vucovich
Dhruv Nandakumar
K. Choi
Abdul Rahman
Edward Bowen
Sachin Shetty
ArXivPDFHTML

Papers citing "MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning"

4 / 4 papers shown
Title
Membership Inference Attacks and Defenses in Federated Learning: A
  Survey
Membership Inference Attacks and Defenses in Federated Learning: A Survey
Li Bai
Haibo Hu
Qingqing Ye
Haoyang Li
Leixia Wang
Jianliang Xu
FedML
69
13
0
09 Dec 2024
Privacy Drift: Evolving Privacy Concerns in Incremental Learning
Privacy Drift: Evolving Privacy Concerns in Incremental Learning
Sayyed Farid Ahamed
S. Banerjee
Sandip Roy
Aayush Kapoor
Marc Vucovich
K. Choi
Abdul Rahman
Edward Bowen
Sachin Shetty
FedML
66
0
0
06 Dec 2024
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference
  Attack in Federated Learning
Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
Sayyed Farid Ahamed
Soumya Banerjee
Sandip Roy
Devin Quinn
Marc Vucovich
K. Choi
Abdul Rahman
Alison Hu
Edward Bowen
Sachin Shetty
24
0
0
26 Jul 2024
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
278
2,888
0
15 Sep 2016
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