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2105.00529
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GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2021
2 May 2021
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
Re-assign community
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Github (33★)
Papers citing
"GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning"
35 / 35 papers shown
Privacy in Federated Learning with Spiking Neural Networks
Dogukan Aksu
Jesus Martinez del Rincon
Ihsen Alouani
AAML
FedML
707
0
0
26 Nov 2025
Emerging Paradigms for Securing Federated Learning Systems
Amr Akmal Abouelmagd
Amr Hilal
FedML
161
0
0
25 Sep 2025
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based Systems
Proceedings on Privacy Enhancing Technologies (PoPETs), 2025
Marco Di Gennaro
Giovanni De Lucia
Stefano Longari
S. Zanero
Michele Carminati
FedML
340
0
0
09 Jun 2025
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning
IEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
Hui Ma
Kai Yang
Yang Jiao
OOD
477
9
0
25 May 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges
Qiongxiu Li
Wenrui Yu
Yufei Xia
Jun Pang
FedML
321
7
0
10 Mar 2025
Ten Challenging Problems in Federated Foundation Models
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
708
46
0
14 Feb 2025
A Potential Game Perspective in Federated Learning
Kang Liu
Ziqi Wang
Enrique Zuazua
FedML
365
2
0
18 Nov 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald
S. Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
...
Andreas Truegler
Eduardo E. Veas
Roman Kern
Tomislav Nad
Simone Kopeinik
305
35
0
15 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond
Knowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
349
65
0
03 Nov 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning
H. Yi
H. Ren
C. Hu
Y. Li
J. Deng
Xin Xie
FedML
250
1
0
11 Oct 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study
Hangyu Zhu
Liyuan Huang
Zhenping Xie
FedML
337
4
0
28 Sep 2024
A Multivocal Literature Review on Privacy and Fairness in Federated Learning
Wirtschaftsinformatik (WI), 2024
Beatrice Balbierer
Lukas Heinlein
Domenique Zipperling
Niklas Kühl
197
1
0
16 Aug 2024
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
Xuan Liu
Siqi Cai
Qihua Zhou
Song Guo
Ruibin Li
Kaiwei Lin
DiffM
AAML
315
0
0
07 Jul 2024
Survey of Privacy Threats and Countermeasures in Federated Learning
M. Hayashitani
Junki Mori
Isamu Teranishi
FedML
433
2
0
01 Feb 2024
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
312
42
0
27 Nov 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023
Ngoc Duy Pham
K. Phan
Naveen Chilamkurti
287
18
0
22 Oct 2023
Collaborative Distributed Machine Learning
ACM Computing Surveys (ACM Comput. Surv.), 2023
Sumit Kumar Jha
Patrick Lincoln
Sascha Rank
Ali Sunyaev
452
8
0
28 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning
Niraj Kumar
Jamie Heredge
Changhao Li
Shaltiel Eloul
Shree Hari Sureshbabu
Marco Pistoia
FedML
454
12
0
22 Sep 2023
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges
Fei Dou
Jin Ye
Geng Yuan
Qin Lu
Wei Niu
...
Hongyue Sun
Yunli Shao
Changying Li
Tianming Liu
Wenzhan Song
AI4CE
260
40
0
14 Sep 2023
DBFed: Debiasing Federated Learning Framework based on Domain-Independent
International Conference on Big Data Computing and Communications (ICBDCC), 2023
Jiale Li
Zhixin Li
Yibo Wang
Yao Li
Lei Wang
FedML
207
1
0
10 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huiqiang Chen
Tianqing Zhu
Tao Zhang
Wanlei Zhou
Philip S. Yu
FedML
345
86
0
25 Jun 2023
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Junchuan Liang
Rong Wang
FedML
310
24
0
02 Jun 2023
Gradient Leakage Defense with Key-Lock Module for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
FedML
527
3
0
06 May 2023
Stabilizing and Improving Federated Learning with Non-IID Data and Client Dropout
Jian Xu
Mei Yang
Wenbo Ding
Shao-Lun Huang
FedML
304
7
0
11 Mar 2023
Digital Privacy Under Attack: Challenges and Enablers
ACM Computing Surveys (ACM Comput. Surv.), 2023
Baobao Song
Mengyue Deng
Mengyue Deng
Qiujun Lan
R. Doss
Gang Li
AAML
455
5
0
18 Feb 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study
Cluster Computing (CC), 2022
Rachid El Mokadem
Yann Ben Maissa
Zineb El Akkaoui
189
11
0
09 Jan 2023
Federated Learning Attacks and Defenses: A Survey
Yao Chen
Yijie Gui
Hong Lin
Wensheng Gan
Yongdong Wu
FedML
242
47
0
27 Nov 2022
Training Mixed-Domain Translation Models via Federated Learning
North American Chapter of the Association for Computational Linguistics (NAACL), 2022
Peyman Passban
Tanya Roosta
Rahul Gupta
Ankit R. Chadha
Clement Chung
FedML
AI4CE
332
20
0
03 May 2022
A New Dimensionality Reduction Method Based on Hensel's Compression for Privacy Protection in Federated Learning
International Conference on Computing, Networking and Communications (ICNC), 2022
Ahmed El Ouadrhiri
Ahmed M Abdelhadi
183
7
0
01 May 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
IEEE Internet of Things Journal (IEEE IoT J.), 2022
Xingjian Cao
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
286
87
0
18 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Information Fusion (Inf. Fusion), 2022
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
311
305
0
20 Jan 2022
On the Security & Privacy in Federated Learning
Gorka Abad
S. Picek
Víctor Julio Ramírez-Durán
A. Urbieta
388
13
0
10 Dec 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Yuezhou Wu
Weijing Chen
Jiahuan Luo
Yuanqin He
Qiang Yang
FedML
AAML
483
95
0
16 Nov 2021
FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition
Neurocomputing (Neurocomputing), 2020
Hanchi Ren
Jingjing Deng
Xianghua Xie
Xiaoke Ma
Yi-Cheng Wang
FedML
453
15
0
14 Jul 2020
Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent
Richeng Jin
Xiaofan He
H. Dai
FedML
428
2
0
08 Sep 2018
1
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