Scale-MIA: A Scalable Model Inversion Attack against Secure Federated
Learning via Latent Space Reconstruction

v1v2 (latest)

Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction

10 November 2023

ArXiv (abs)PDF HTML

Papers citing "Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction"

6 / 6 papers shown

Title
Federated Learning Nodes Can Reconstruct Peers' Image Data Ethan Wilson Kai Yue Chau-Wai Wong H. Dai FedML 86 1 0 07 Oct 2024
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method Shihua Sun Pragya Sharma Kenechukwu Nwodo Angelos Stavrou Haining Wang 176 2 0 13 Aug 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 154 1 0 13 Jul 2024
MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models Shanghao Shi Md Shahedul Haque Abhijeet Parida Chaoyu Zhang M. Linguraru Y. T. Hou Syed Muhammad Anwar W. Lou FedML 92 3 0 13 Jul 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey Chaoyu Zhang Shaoyu Li AILaw 137 4 0 25 Feb 2024
Reinforcement Learning-Based Approaches for Enhancing Security and Resilience in Smart Control: A Survey on Attack and Defense Methods Zheyu Zhang AAML 49 0 0 23 Feb 2024