Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms

5 July 2022

Papers citing "Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms"

8 / 8 papers shown

Title
Online Transfer Learning for RSV Case Detection Yiming Sun Yuhe Gao Runxue Bao Gregory F. Cooper J. Espino Harry Hochheiser Marian G. Michaels J. M. Aronis Chenxi Song Ye Ye 13 2 0 03 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 15 0 0 01 Feb 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 43 34 0 25 Jan 2024
A Recent Survey of Heterogeneous Transfer Learning Runxue Bao Yiming Sun Yuhe Gao Jindong Wang Qiang Yang Zhi-Hong Mao Ye Ye 22 4 0 12 Oct 2023
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation Manjushree B. Aithal Xiaohua Li AAML 52 5 0 30 Sep 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 355 0 07 Dec 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 433 0 04 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,031 0 29 Nov 2018