49 citations · 189 across the 41 of their papers we have counts for
3 papers · 1 filter
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn +5
With an increase in low-cost machine learning APIs, advanced machine learning models may be trained on private datasets and monetized by providing them as a service. However, priva…
The Cost of Privacy in Asynchronous Differentially-Private Machine Learning
Farhad Farokhi, Nan Wu, David Smith +1
We consider training machine learning models using Training data located on multiple private and geographically-scattered servers with different privacy settings. Due to the distri…
Modelling and Quantifying Membership Information Leakage in Machine Learning
Farhad Farokhi, Mohamed Ali Kaafar
Machine learning models have been shown to be vulnerable to membership inference attacks, i.e., inferring whether individuals' data have been used for training models. The lack of…