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How Much Privacy Does Federated Learning with Secure Aggregation
  Guarantee?

How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?

3 August 2022
A. Elkordy
Jiang Zhang
Yahya H. Ezzeldin
Konstantinos Psounis
A. Avestimehr
    FedML
ArXivPDFHTML

Papers citing "How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?"

23 / 23 papers shown
Title
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
43
0
0
23 Feb 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
Evan Gronberg
L. dÁliberti
Magnus Saebo
Aurora Hook
FedML
43
0
0
20 Jan 2025
ACCESS-FL: Agile Communication and Computation for Efficient Secure
  Aggregation in Stable Federated Learning Networks
ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks
Niousha Nazemi
Omid Tavallaie
Shuaijun Chen
Anna Maria Mandalari
Kanchana Thilakarathna
Ralph Holz
Hamed Haddadi
Albert Y. Zomaya
FedML
16
2
0
03 Sep 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Analyzing Inference Privacy Risks Through Gradients in Machine Learning
Zhuohang Li
Andrew Lowy
Jing Liu
T. Koike-Akino
K. Parsons
Bradley Malin
Ye Wang
FedML
30
1
0
29 Aug 2024
Differentially Private Federated Learning without Noise Addition: When
  is it Possible?
Differentially Private Federated Learning without Noise Addition: When is it Possible?
Jiang Zhang
Konstantinos Psounis
FedML
30
0
0
06 May 2024
Secure Aggregation is Not Private Against Membership Inference Attacks
Secure Aggregation is Not Private Against Membership Inference Attacks
K. Ngo
Johan Ostman
Giuseppe Durisi
Alexandre Graell i Amat
FedML
21
2
0
26 Mar 2024
Horizontal Federated Computer Vision
Horizontal Federated Computer Vision
Paul K. Mandal
Cole Leo
Connor Hurley
FedML
ObjD
39
0
0
31 Dec 2023
PriPrune: Quantifying and Preserving Privacy in Pruned Federated
  Learning
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning
Tianyue Chu
Mengwei Yang
Nikolaos Laoutaris
A. Markopoulou
34
4
0
30 Oct 2023
Privacy-Preserving Financial Anomaly Detection via Federated Learning &
  Multi-Party Computation
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation
Sunpreet S. Arora
Andrew Beams
Panagiotis Chatzigiannis
Sebastian Meiser
Karan Patel
...
Harshal Shah
Yizhen Wang
Yuhang Wu
Hao-Yu Yang
Mahdi Zamani
FedML
11
3
0
06 Oct 2023
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting
  in Continual Federated Learning
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning
Yavuz Faruk Bakman
D. Yaldiz
Yahya H. Ezzeldin
A. Avestimehr
CLL
FedML
25
15
0
03 Sep 2023
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications
  to Private Federated Learning
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning
Yiping Ma
Jess Woods
Sebastian Angel
Antigoni Polychroniadou
T. Rabin
FedML
16
52
0
19 Aug 2023
Stochastic Unrolled Federated Learning
Stochastic Unrolled Federated Learning
Samar Hadou
Navid Naderializadeh
Alejandro Ribeiro
FedML
28
5
0
24 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with
  Secure Aggregation
FedGT: Identification of Malicious Clients in Federated Learning with Secure Aggregation
M. Xhemrishi
Johan Ostman
A. Wachter-Zeh
Alexandre Graell i Amat
FedML
19
6
0
09 May 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
Amplitude-Varying Perturbation for Balancing Privacy and Utility in
  Federated Learning
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning
Xinnan Yuan
W. Ni
Ming Ding
Kang Wei
Jun Li
H. Vincent Poor
FedML
21
37
0
07 Mar 2023
Proof-of-Contribution-Based Design for Collaborative Machine Learning on
  Blockchain
Proof-of-Contribution-Based Design for Collaborative Machine Learning on Blockchain
Baturalp Buyukates
Chaoyang He
Shanshan Han
Zhiyong Fang
Yupeng Zhang
Jieyi Long
A. Farahanchi
Salman Avestimehr
OOD
31
7
0
27 Feb 2023
Federated Analytics: A survey
Federated Analytics: A survey
A. Elkordy
Yahya H. Ezzeldin
Shanshan Han
Sharad Sharma
Chaoyang He
S. Mehrotra
Salman Avestimehr
FedML
18
26
0
02 Feb 2023
A Utility-Preserving Obfuscation Approach for YouTube Recommendations
A Utility-Preserving Obfuscation Approach for YouTube Recommendations
Jiang Zhang
Hadi Askari
Konstantinos Psounis
Zubair Shafiq
17
5
0
14 Oct 2022
zPROBE: Zero Peek Robustness Checks for Federated Learning
zPROBE: Zero Peek Robustness Checks for Federated Learning
Zahra Ghodsi
Mojan Javaheripi
Nojan Sheybani
Xinqiao Zhang
Ke Huang
F. Koushanfar
FedML
34
17
0
24 Jun 2022
Location Leakage in Federated Signal Maps
Location Leakage in Federated Signal Maps
Evita Bakopoulou
Justin Ley
Jiang Zhang
Konstantinos Psounis
A. Markopoulou
FedML
18
5
0
07 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
57
164
0
29 Sep 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
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
564
0
27 Jul 2020
1