Webmultisection neuron coverage, neuron boundary coverage [8], combinatorial coverage [10]. It has been argued that these criteria may be misleading, because of the low correlation between the number of misclassified inputs in a test set and its This work has been supported by the project COSMIC of UNINA DIETI. coverage [12]. WebNeuron coverage, inspired by code coverage in software testing, has been proposed as one such V&V method. We provide a summary of different neuron coverage variants and their inspiration ... definition of NC and additionally introduces k-multisection coverage and neuron boundary coverage. Another variant, [TPJR18], uses image transformations ...

The Good and the Bad: Using Neuron Coverage as a DNN

WebIn this article, we provide an overview of structural coverage metrics for testing DNN models, including neuron coverage, k-multisection neuron coverage, top-k neuron coverage, … WebSurprise Coverage Neuron-Activation Coverage (NAC) K-Multisection Neuron Coverage (KMNC) Neuron Boundary Coverage (NBC) Strong Neuron Activation Coverage (SNAC) Top-k Neuron Coverage (TKNC) Utilities APFD calculation Coverage-Added and Coverage-Total Prioritization Methods (CAM and CTM) break down into 意味

A Coverage-Guided Fuzzing Framework based on Genetic …

Webcoverage_criteria: It contains six coverage metrics including neuron coverage, k-multisection neuron coverage, neuron boundary coverage, strong neuron activation coverage, top-k neuron coverage and top-k neuron patterns. WebSep 8, 2024 · Similar notions of coverage, called neuron coverage, have been proposed for deep neural networks and try to assess to what extent test input activates neurons in a … WebOur results invoke skepticism that increasing neuron coverage may not be a meaningful objective for generating tests for deep neural networks and call for a new test generation … costco advent calendar beer 2021