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2012.06337
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Privacy and Robustness in Federated Learning: Attacks and Defenses
7 December 2020
Lingjuan Lyu
Han Yu
Jiabo He
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
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Papers citing
"Privacy and Robustness in Federated Learning: Attacks and Defenses"
50 / 156 papers shown
Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning
Hyeong-Gun Joo
Songnam Hong
Seunghwan Lee
Dong-joon Shin
FedML
464
0
0
24 Nov 2025
Graph Representation-based Model Poisoning on the Heterogeneous Internet of Agents
Hanlin Cai
Houtianfu Wang
Haofan Dong
Kai Li
Ozgur B. Akan
Ozgur B. Akan
AAML
190
1
0
10 Nov 2025
MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks
Mohammad Karami
Mohammad Reza Nemati
Aidin Kazemi
Ali Mikaeili Barzili
Hamid Azadegan
Behzad Moshiri
MedIm
359
0
0
07 Nov 2025
On the Fragility of Contribution Score Computation in Federated Learning
Balazs Pejo
Marcell Frank
Krisztian Varga
Peter Veliczky
G. Biczók
FedML
259
1
0
24 Sep 2025
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
Zhaoxin Wang
Handing Wang
Cong Tian
Yaochu Jin
FedML
AAML
240
0
0
23 Sep 2025
Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators
Simone Bottoni
Giulio Zizzo
S. Braghin
Alberto Trombetta
AAML
FedML
249
0
0
05 Sep 2025
On Evaluating the Poisoning Robustness of Federated Learning under Local Differential Privacy
Zijian Wang
Wei Tong
Tingxuan Han
Haoyu Chen
Tianling Zhang
Yunlong Mao
Sheng Zhong
AAML
122
0
0
05 Sep 2025
Privacy-Preserving Personalization in Education: A Federated Recommender System for Student Performance Prediction
Rodrigo Tertulino
Ricardo Almeida
211
3
0
03 Sep 2025
Detecting Untargeted Attacks and Mitigating Unreliable Updates in Federated Learning for Underground Mining Operations
Md Sazedur Rahman
Mohamed Elmahallawy
S. Madria
Samuel Frimpong
AAML
120
2
0
13 Aug 2025
Graph Representation-based Model Poisoning on Federated Large Language Models
Hanlin Cai
Haofan Dong
Houtianfu Wang
Kai Li
Ozgur B. Akan
AAML
507
0
0
02 Jul 2025
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
IEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2025
Xiyu Zhao
Qimei Cui
Weicai Li
Wei Ni
Ekram Hossain
Quan Z. Sheng
Xiaofeng Tao
Ping Zhang
FedML
274
1
0
17 Jun 2025
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
292
0
0
13 Jun 2025
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator
IEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Alberto Bazán-Guillén
Carlos Beis-Penedo
Diego Cajaraville-Aboy
Pablo Barbecho-Bautista
R. Redondo
Luis J. de la Cruz Llopis
Ana Fernández-Vilas
Mónica Aguilar Igartua
M. Fernández-Veiga
AI4TS
221
0
0
09 Jun 2025
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning
Zeyu Yan
Yifei Yao
Xuanbing Wen
Shixiong Zhang
Juli Zhang
Kai Fan
AAML
419
0
0
07 Jun 2025
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things
IEEE Internet of Things Journal (IEEE IoT J.), 2025
Kai Li
Conggai Li
Xin Yuan
Shenghong Li
Sai Zou
...
W. Ni
Dusit Niyato
Abbas Jamalipour
Falko Dressler
Ozgur B. Akan
AI4CE
257
17
0
26 May 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
Leming Wu
Yaochu Jin
K. Hao
Han Yu
FedML
407
0
0
17 Apr 2025
Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders
International Conference on Wireless Communications and Mobile Computing (IWCMC), 2025
Kai Li
Shuyan Hu
Bochun Wu
Sai Zou
Wei Ni
Falko Dressler
AAML
FedML
237
1
0
14 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks
Dipankar Maity
Kushal Chakrabarti
FedML
285
2
0
02 Apr 2025
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models
Caspar Meijer
Jiyue Huang
Shreshtha Sharma
Elena Lazovik
Lydia Y. Chen
AI4TS
264
2
0
26 Mar 2025
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
IEEE Journal on Selected Areas in Communications (JSAC), 2025
Jiacheng Yao
Wei Shi
Wei Xu
Zhaohui Yang
A. L. Swindlehurst
Dusit Niyato
300
6
0
24 Mar 2025
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Barış Büyüktaş
Gencer Sumbul
Tim Siebert
360
1
0
13 Mar 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning
Nature Communications (Nat Commun), 2025
Guikun Chen
Xu Zhang
Yue Yang
Yong Liu
Yi Yang
Wenguan Wang
344
0
0
26 Feb 2025
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments
Kaixiang Zhao
Lincan Li
Kaize Ding
Neil Zhenqiang Gong
Yue Zhao
Yushun Dong
AAML
298
7
0
22 Feb 2025
Secure Federated Data Distillation
Marco Arazzi
Mert Cihangiroglu
S. Nicolazzo
Antonino Nocera
FedML
DD
483
0
0
19 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises
Applied Soft Computing (Appl. Soft Comput.), 2024
Reza Fotohi
Fereidoon Shams Aliee
Bahar Farahani
FedML
479
27
0
18 Feb 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs
Yahao Pang
Xingyuan Wu
Xiaojin Zhang
Wei Chen
Hai Jin
FedML
465
2
0
17 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
Dezhong Yao
Yuexin Shi
Tongtong Liu
Zhiqiang Xu
301
3
0
12 Feb 2025
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
385
1
0
09 Feb 2025
Central limit theorems for vector-valued composite functionals with smoothing and applications
Annals of the Institute of Statistical Mathematics (AISM), 2024
Huhui Chen
Darinka Dentcheva
Yang Lin
Gregory J. Stock
379
5
0
26 Dec 2024
Attribute Inference Attacks for Federated Regression Tasks
AAAI Conference on Artificial Intelligence (AAAI), 2024
Francesco Diana
Othmane Marfoq
Chuan Xu
Giovanni Neglia
F. Giroire
Eoin Thomas
AAML
1.3K
1
0
19 Nov 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Charuka Herath
Xiaolan Liu
S. Lambotharan
Y. Rahulamathavan
FedML
251
9
0
23 Oct 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li
Henger Li
Yunian Pan
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
213
10
0
22 Oct 2024
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars
Peilin He
Chenkai Lin
Isabella Montoya
168
4
0
17 Oct 2024
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
Asia-Pacific Computer Systems Architecture Conference (ACSA), 2024
Youpeng Li
Xiang Wang
Fuxun Yu
Lichao Sun
Wenbin Zhang
Xuyu Wang
FedML
791
2
0
16 Oct 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation
Gleb I. Radchenko
Victoria Andrea Fill
244
1
0
11 Oct 2024
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
Mexican International Conference on Artificial Intelligence (MICAI), 2024
Iván Reyes-Amezcua
Michael Rojas-Ruiz
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
Christian Daul
167
2
0
30 Sep 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
B. Das
M. H. Amini
Yanzhao Wu
201
2
0
27 Sep 2024
Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks
Duong Thuy Anh Nguyen
Su Wang
Duong Tung Nguyen
Angelia Nedich
H. Vincent Poor
349
4
0
25 Sep 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System
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Yongxin Deng
Xihe Qiu
Jue Chen
Yaochu Jin
FedML
351
3
0
23 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
Kai Yue
Richeng Jin
Chau-Wai Wong
H. Dai
AAML
392
1
0
10 Sep 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
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Jinshan Zeng
Sheng Wang
Yuan Sun
Xiaodong Li
Xingtai Lv
Zhiyong Peng
266
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23 Jul 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
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Songze Li
Tayyebeh Jahani-Nezhad
Giuseppe Caire
FedML
528
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12 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
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Alberto Huertas Celdrán
Jan von der Assen
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
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253
18
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Mingyu Yang
Xiaoye Qu
Pan Zhou
Yu Cheng
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ELM
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386
88
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Zhongliang Guo
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456
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DiffM
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291
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Chenxu Zhao
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Quanzeng You
Mengdi Huai
Fenglong Ma
FedML
333
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Rui Ye
Jingyi Chai
Xiangrui Liu
Yaodong Yang
Yanfeng Wang
Siheng Chen
AAML
382
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Zuzanna Fendor
Bas H. M. van der Velden
Xinxin Wang
Andrea Jr. Carnoli
Osman Mutlu
Ali Hürriyetoğlu
FedML
203
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10 Jun 2024
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