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Information Stealing in Federated Learning Systems Based on Generative
  Adversarial Networks

Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks

2 August 2021
Yuwei Sun
N. Chong
H. Ochiai
    FedML
    AAML
ArXivPDFHTML

Papers citing "Information Stealing in Federated Learning Systems Based on Generative Adversarial Networks"

3 / 3 papers shown
Title
A Systematic Review of Federated Generative Models
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
38
2
0
26 May 2024
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning
  Attacks
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning Attacks
Naoya Tezuka
H. Ochiai
Yuwei Sun
Hiroshi Esaki
AAML
31
4
0
07 Nov 2022
On the Security & Privacy in Federated Learning
On the Security & Privacy in Federated Learning
Gorka Abad
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
44
11
0
10 Dec 2021
1