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Network Identification

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

Papers

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Showing 1–23 of 23 papers

TitleStatusHype
Expand-and-Cluster: Parameter Recovery of Neural NetworksCode1
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific KnowledgeCode0
A scalable multi-step least squares method for network identification with unknown disturbance topology—0
BrainSymphony: A Transformer-Driven Fusion of fMRI Time Series and Structural Connectivity—0
Data-driven distributed control: Virtual reference feedback tuning in dynamic networks—0
Deep Convolutional Neural Networks in the Face of Caricature: Identity and Image Revealed—0
Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data—0
Exploring latent networks in resting-state fMRI using voxel-to-voxel causal modeling feature selection—0
Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals—0
Identification of conserved moieties in metabolic networks by graph theoretical analysis of atom transition networks—0
Improved Background Estimation for Gas Plume Identification in Hyperspectral Images—0
Insights into Complex Brain Functions Related to Schizophrenia Disorder through Causal Network Analysis—0
Koopman operator based identification of nonlinear networks—0
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN)—0
Network Structure Identification from Corrupt Data Streams—0
Neural network identification of people hidden from view with a single-pixel, single-photon detector—0
On Neural Network Identification for Low-Speed Ship Maneuvering Model—0
On the Consistency of Maximum Likelihood Estimators for Causal Network Identification—0
Tractable Identification of Electric Distribution Networks—0
Unique Brain Network Identification Number for Parkinson's Individuals Using Structural MRI—0
A Bayesian Approach to Sparse plus Low rank Network Identification—0
Unsupervised deep learning for individualized brain functional network identification—0
A frequency domain approach for local module identification in dynamic networks—0
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