Federated Learning

Bkd-FedGNN: A Benchmark for Classification Backdoor Attacks on Federated Graph Neural Network

Authors: Fan Liu, Siqi Lai, Yansong Ning, Hao Liu | Published: 2023-06-17
Backdoor Attack
Federated Learning

Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses

Authors: Mohamed Amine Ferrag, Othmane Friha, Burak Kantarci, Norbert Tihanyi, Lucas Cordeiro, Merouane Debbah, Djallel Hamouda, Muna Al-Hawawreh, Kim-Kwang Raymond Choo | Published: 2023-06-17 | Updated: 2024-02-08
Backdoor Attack
Poisoning
Federated Learning

Fairness and Privacy-Preserving in Federated Learning: A Survey

Authors: Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | Published: 2023-06-14 | Updated: 2023-07-14
Privacy Technique
Poisoning
Federated Learning

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

AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning

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

Differentially private sliced inverse regression in the federated paradigm

Authors: Shuaida He, Jiarui Zhang, Xin Chen | Published: 2023-06-10 | Updated: 2023-08-10
Sample Complexity
Privacy Enhancing Technology
Federated Learning

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users

Authors: Yogachandran Rahulamathavan, Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Carsten Maple | Published: 2023-06-08 | Updated: 2024-10-06
Poisoning
Multi-Party Computation
Federated Learning

Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency

Authors: Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Changting Lin | Published: 2022-06-11
Federated Learning
Weight Update Method
Defense Effectiveness Analysis

Deep Leakage from Model in Federated Learning

Authors: Zihao Zhao, Mengen Luo, Wenbo Ding | Published: 2022-06-10
Attack Methods against DFL
Poisoning
Federated Learning

Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance

Authors: Riadh Ben Chaabene, Darine Amayed, Mohamed Cheriet | Published: 2022-06-09
Smart Contract
Federated Learning