Malicious Client

Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions

Authors: Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao | Published: 2025-03-23
Model Extraction Attack
Malicious Client
Defense Effectiveness Analysis
2025.03.23 2025.05.27
Literature Database

Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm

Authors: Yuxin Jin, Taotao Wang, Qing Yang, Long Shi, Shengli Zhang | Published: 2025-03-18 | Updated: 2025-03-24
Client Contribution Assessment
Privacy-Preserving Machine Learning
Malicious Client
2025.03.18 2025.05.27
Literature Database

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning

Authors: Hamid Mozaffari, Sunav Choudhary, Amir Houmansadr | Published: 2024-03-10
Backdoor Attack
Poisoning
Malicious Client
2024.03.10 2025.05.27
Literature Database

FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks

Authors: Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen | Published: 2023-12-04
Backdoor Attack
Malicious Client
Federated Learning
2023.12.04 2025.05.28
Literature Database

Blind quantum machine learning with quantum bipartite correlator

Authors: Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia | Published: 2023-10-19
Privacy Protection Method
Malicious Client
Quantum Cryptography Technology
2023.10.19 2025.05.28
Literature Database

martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture

Authors: Qi Li, Zhuotao Liu, Qi Li, Ke Xu | Published: 2023-09-03 | Updated: 2024-05-09
Smart Contract
Malicious Client
Federated Learning
2023.09.03 2025.05.28
Literature Database

SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning

Authors: Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet | Published: 2023-06-13
Poisoning
Malicious Client
Federated Learning
2023.06.13 2025.05.28
Literature Database

AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning

Authors: Ghada Almashaqbeh, Zahra Ghodsi | Published: 2023-06-12
Privacy Technique
Malicious Client
Federated Learning
2023.06.12 2025.05.28
Literature Database

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model

Authors: Shuo Shao, Wenyuan Yang, Hanlin Gu, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren | Published: 2022-11-14 | Updated: 2024-03-02
DNN IP Protection Method
Watermarking
Malicious Client
2022.11.14 2025.05.28
Literature Database

Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications

Authors: Ali Raza, Shujun Li, Kim-Phuc Tran, Ludovic Koehl, Kim Duc Tran | Published: 2022-07-18 | Updated: 2025-03-25
Poisoning
Malicious Client
Detection of Poisonous Data
2022.07.18 2025.05.28
Literature Database
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