2 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
VR ProfiLens: User Profiling Risks in Consumer Virtual Reality Apps
Ismat Jarin, Olivia Figueira, Yu Duan +2
Virtual reality (VR) platforms and apps collect user sensor data, including motion, facial, eye, and hand data, in abstracted form. These data may expose users to unique privacy ri…
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members
Ismat Jarin, Birhanu Eshete
In membership inference attacks (MIAs), an adversary observes the predictions of a model to determine whether a sample is part of the model's training data. Existing MIA defenses c…
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
Ismat Jarin, Birhanu Eshete
Differential Privacy (DP) has emerged as a rigorous formalism to reason about quantifiable privacy leakage. In machine learning (ML), DP has been employed to limit inference/disclo…
PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
Ismat Jarin, Birhanu Eshete
When multiple parties that deal with private data aim for a collaborative prediction task such as medical image classification, they are often constrained by data protection regula…