research
∙
06/05/2023
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Malicious server (MS) attacks have enabled the scaling of data stealing ...
share
research
∙
10/13/2022
FARE: Provably Fair Representation Learning
Fair representation learning (FRL) is a popular class of methods aiming ...
research
∙
10/04/2022
Data Leakage in Tabular Federated Learning
While federated learning (FL) promises to preserve privacy in distribute...
research
∙
06/24/2022
Data Leakage in Federated Averaging
Recent attacks have shown that user data can be recovered from FedSGD up...
research
∙
02/17/2022
LAMP: Extracting Text from Gradients with Language Model Priors
Recent work shows that sensitive user data can be reconstructed from gra...
research
∙
11/08/2021
Bayesian Framework for Gradient Leakage
Federated learning is an established method for training machine learnin...
research
∙
09/01/2021
Shared Certificates for Neural Network Verification
Existing neural network verifiers compute a proof that each input is han...
research
∙
07/23/2020