57 citations · 122 across the 9 of their papers we have counts for
3 papers · 1 filter
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Hamid Mozaffari, Virendra J. Marathe, Dave Dice
Federated Learning (FL) is a distributed learning paradigm that enables mutually untrusting clients to collaboratively train a common machine learning model. Client data privacy is…
Subject Granular Differential Privacy in Federated Learning
Virendra J. Marathe, Pallika Kanani, Daniel W. Peterson +1
This paper considers subject level privacy in the FL setting, where a subject is an individual whose private information is embodied by several data items either confined within a…
Subject Membership Inference Attacks in Federated Learning
Anshuman Suri, Pallika Kanani, Virendra J. Marathe +1
Privacy attacks on Machine Learning (ML) models often focus on inferring the existence of particular data points in the training data. However, what the adversary really wants to k…