SOTAVerified

Network Identification

Identification of parameters composing a neural network. Also referred as model stealing attack or parameter reverse engineering.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 23 papers

TitleStatusHype
A scalable multi-step least squares method for network identification with unknown disturbance topology—0
A frequency domain approach for local module identification in dynamic networks—0
Unsupervised deep learning for individualized brain functional network identification—0
Data-driven distributed control: Virtual reference feedback tuning in dynamic networks—0
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification—0
Network Structure Identification from Corrupt Data Streams—0
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific KnowledgeCode0
Insights into Complex Brain Functions Related to Schizophrenia Disorder through Causal Network Analysis—0
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed—0
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.