11 citations · 25 across the 8 of their papers we have counts for
4 papers · 1 filter
ACE: A Consent-Embedded privacy-preserving search on genomic database
Sara Jafarbeiki, Amin Sakzad, Ron Steinfeld +3
In this paper, we introduce ACE, a consent-embedded searchable encryption scheme. ACE enables dynamic consent management by supporting the physical deletion of associated data at t…
Access-based Lightweight Physical Layer Authentication for the Internet of Things Devices
Saud Khan, Chandra Thapa, Salman Durrani +1
Physical-layer authentication is a popular alternative to the conventional key-based authentication for internet of things (IoT) devices due to their limited computational capacity…
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training?
Sharif Abuadbba, Kyuyeon Kim, Minki Kim +5
A new collaborative learning, called split learning, was recently introduced, aiming to protect user data privacy without revealing raw input data to a server. It collaboratively r…
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
Yansong Gao, Minki Kim, Sharif Abuadbba +6
This work is the first attempt to evaluate and compare felderated learning (FL) and split neural networks (SplitNN) in real-world IoT settings in terms of learning performance and…