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Found 4 papers, 2 papers with code
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
To address this we introduce a novel embedding constraint based on the Method of Moments (MoM).
AI Model Utilization Measurements For Finding Class Encoding Patterns
We approach the problems by introducing theoretical underpinnings of AI model utilization measurement and understanding patterns in utilization-based class encodings of traffic signs at the level of computation graphs (AI models), subgraphs, and graph nodes.
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Next, measure the accuracy of a set of systematically pruned NN models following multiple pruning schemas.
Scientific Calculator for Designing Trojan Detectors in Neural Networks
This work presents a web-based interactive neural network (NN) calculator and a NN inefficiency measurement that has been investigated for the purpose of detecting trojans embedded in NN models.
