Investigating Privacy Attacks in the Gray-Box Setting to Enhance
Collaborative Learning Schemes
Investigating Privacy Attacks in the Gray-Box Setting to Enhance
Collaborative Learning Schemes
The notion that collaborative machine learning can ensure privacy by just withholding the raw data is widely acknowledged to be flawed. Over the past seven years, the literature has revealed several privacy attacks that enable adversaries to extract information about a model's training dataset by exploiting access to model parameters …