Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient
Ensembling

Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling

29 April 2022

Nojun Kwak

Papers citing "Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling"

8 / 8 papers shown

Title
NLP Security and Ethics, in the Wild Heather Lent Erick Galinkin Yiyi Chen Jens Myrup Pedersen Leon Derczynski Johannes Bjerva SILM 47 0 0 09 Apr 2025
R-SFLLM: Jamming Resilient Framework for Split Federated Learning with Large Language Models Aladin Djuhera Vlad-Costin Andrei Xinyan Li U. Mönich Holger Boche Walid Saad 43 2 0 16 Jul 2024
Grounding Foundation Models through Federated Transfer Learning: A General Framework Yan Kang Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 68 19 0 29 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 42 19 0 27 Nov 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 40 56 0 03 Mar 2023
Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-End Yanran Chen Steffen Eger 26 16 0 20 Dec 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation Zhiyuan Zhang Qi Su Xu Sun FedML 21 12 0 13 Oct 2022
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018