research
∙
04/28/2022
AGIC: Approximate Gradient Inversion Attack on Federated Learning
Federated learning is a private-by-design distributed learning paradigm ...
share
research
∙
02/07/2022
Blind leads Blind: A Zero-Knowledge Attack on Federated Learning
Attacks on Federated Learning (FL) can severely reduce the quality of th...
research
∙
01/31/2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks
Deep machine learning models are increasingly deployedin the wild for pr...
research
∙
01/24/2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN
Generative Adversarial Networks (GANs) are increasingly adopted by the i...
research
∙
06/20/2021
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Shapley Value is commonly adopted to measure and incentivize client part...
research
∙
11/13/2020
An Exploratory Analysis on Users' Contributions in Federated Learning
Federated Learning is an emerging distributed collaborative learning par...
research
∙
12/05/2018
