Differentially private (DP) training methods like DP-SGD can protect sensitive training data by ensuring that ML models will not reveal...
Differentially private (DP) training methods like DP-SGD can protect sensitive training data by ensuring that ML models will not reveal...
Privacy attacks on Machine Learning (ML) models often focus on inferring the existence of particular data points in the training...
Privacy attacks on Machine Learning (ML) models often focus on inferring the existence of particular data points in the training...
Privacy attacks on Machine Learning (ML) models often focus on inferring the existence of particular data points in the training...
As a major component of online crime, email-based fraud is a threat that causes substantial economic losses every year. To...
As a major component of online crime, email-based fraud is a threat that causes substantial economic losses every year. To...
As a major component of online crime, email-based fraud is a threat that causes substantial economic losses every year. To...
In this paper, we initiate the study of local model reconstruction attacks for federated learning, where a honest-but-curious adversary eavesdrops...
In this paper, we initiate the study of local model reconstruction attacks for federated learning, where a honest-but-curious adversary eavesdrops...