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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in
  Federated Learning

Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning

7 June 2021
Jinhyun So
Ramy E. Ali
Başak Güler
Jiantao Jiao
Salman Avestimehr
    FedML
ArXivPDFHTML

Papers citing "Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning"

10 / 10 papers shown
Title
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
28
5
0
08 Oct 2023
The Resource Problem of Using Linear Layer Leakage Attack in Federated
  Learning
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
Joshua C. Zhao
A. Elkordy
Atul Sharma
Yahya H. Ezzeldin
A. Avestimehr
S. Bagchi
FedML
35
12
0
27 Mar 2023
How Much Privacy Does Federated Learning with Secure Aggregation
  Guarantee?
How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
A. Elkordy
Jiang Zhang
Yahya H. Ezzeldin
Konstantinos Psounis
A. Avestimehr
FedML
35
38
0
03 Aug 2022
Federated Learning Challenges and Opportunities: An Outlook
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding
Eric W. Tramel
Anit Kumar Sahu
Shuang Wu
Salman Avestimehr
Tao Zhang
FedML
33
55
0
01 Feb 2022
Attribute Inference Attack of Speech Emotion Recognition in Federated
  Learning Settings
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings
Tiantian Feng
H. Hashemi
Rajat Hebbar
M. Annavaram
Shrikanth S. Narayanan
13
25
0
26 Dec 2021
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
Irem Ergun
Hasin Us Sami
Başak Güler
FedML
28
25
0
23 Dec 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
64
164
0
29 Sep 2021
Private Retrieval, Computing and Learning: Recent Progress and Future
  Challenges
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
FedML
20
64
0
30 Jul 2021
Information Theoretic Secure Aggregation with User Dropouts
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao
Hua Sun
FedML
59
67
0
19 Jan 2021
Quality Inference in Federated Learning with Secure Aggregation
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó
G. Biczók
FedML
19
22
0
13 Jul 2020
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