Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks

5 March 2024

Papers citing "Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks"

4 / 4 papers shown

Title
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 60 0 0 05 Mar 2025
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning Guikun Chen Xu Zhang Yuqing Yang Wenguan Wang 47 0 0 26 Feb 2025
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Ehsan Nowroozi Mohammadreza Mohammadi Pargol Golmohammadi Yassine Mekdad Mauro Conti Selcuk Uluagac AAML SILM 38 13 0 11 Sep 2022
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 183 355 0 07 Dec 2020