SOTAVerified

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 1–10 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
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
BrainSymphony: A Transformer-Driven Fusion of fMRI Time Series and Structural Connectivity—0
A frequency domain approach for local module identification in dynamic networks—0
Exploring latent networks in resting-state fMRI using voxel-to-voxel causal modeling feature selection—0
A Bayesian Approach to Sparse plus Low rank Network Identification—0
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