Results 231 to 240 of about 676,463 (285)

Scalable privacy-preserving data analytics for IoMT via FHE and zk-SNARK-enabled edge aggregation. [PDF]

Sci Rep
Ben Othman S, Mihret N.
europepmc   +1 more source

Joint energy-aware task offloading and privacy protection in healthcare monitoring systems via deep reinforcement learning. [PDF]

Sci Rep
Zhang J, Hu Y, Shao M, Li X.
europepmc   +1 more source

Towards responsible genome-wide screening

Plantinga M, Ploem MC, Longaron SS, NIebuur J, Christiaans I, Birnie E, Henneman L, Rigter T, Cornel M, Stemkens D, Yntema H, Hout Svd, de Wert G.   +12 more
europepmc   +1 more source

Fine-Grained Personalized Data Aggregation Scheme with High Quality and Privacy Protection. [PDF]

Sensors (Basel)
Xia Z, Murugesan RK.
europepmc   +1 more source

A Bilayer Feature Fusion Framework for Pan-Cancer Survival Prediction Based on Multihead Attention and Adaptive Differential Privacy: Model Development and Validation Study.

JMIR Med Inform
Chen Y, Deng Z, Wang L, Wang H, Wu X.
europepmc   +1 more source

Tracing Forward and the Law: Navigating Privacy and Access Rules [PDF]

, 2013
openaire   +1 more source

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Privacy-Preserving HMM Forward Computation

Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy, 2017
In many areas such as bioinformatics, pattern recognition, and signal processing, Hidden Markov Models (HMMs) have become an indispensable statistical tool. A fundamental building block for these applications is the Forward algorithm which computes the likelihood to observe a given sequence of emissions for a given HMM.
Jan Henrik Ziegeldorf, Jan Metzke, Jan Rüth, Martin Henze, Klaus Wehrle   +4 more
openaire   +1 more source