K-multisection neuron coverage

Author: imjn

August undefined, 2024

Webinto k equal bins (i.e., k-multisections), for k > 0. For D and the target neuron n , its k-multisection neuron coverage is then dened as the ratio of the number of bins covered by … WebJan 1, 2024 · As an analogy to code coverage metrics for testing conventional software, researchers have proposed neuron coverage metrics and coverage-driven methods to …

Testing coverage criteria for optimized deep belief ... - SpringerOpen

WebJan 1, 2024 · The k-multisection neuron coverage measures how thoroughly the boundary [low n, up n] are covered by the given test inputs T. To quantify KMNC, the boundary [low n, up n] is divided into k equal sections (i.e., k-multisections), and S … 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, neuron boundary coverage, strong neuron activation coverage … birds beginning with e

Testing coverage criteria for optimized deep belief

Webneural networks. Neuron coverage was rst proposed in DeepXplore [1] where it was developed as a DNN counterpart for statement coverage. This was later extended to a family of more ne-grained criteria [2], such as k-multisection neuron coverage (KMNC), top-k neuron coverage (TKNC), top-k neuron pat- WebNov 2, 2024 · In this article, we provide an overview of structural coverage metrics for testing DNN models, including neuron coverage, k -multisection neuron coverage, top- k … dana center events at st anselm college

A Coverage-Guided Fuzzing Framework based on Genetic …

MalFuzz: Coverage-guided fuzzing on deep learning …

Webk-Multisection Neuron Coverage (KMNCov). Given a neuron n , the KMNCov measures how thoroughly the given set of the test inputs D covers the range of neuron output value [ l o w n , h i g h n ], where D = { x 1 , x 2 , … } is a set of input data. WebMar 31, 2024 · It does not fully satisfy the first assumption so another method, DeepGauge [Lei Ma et al] proposes K-multisection neuron coverage. In this method, neurons are … birds bees tinted lip balmWebBased on the control flow and data flow of the decision graph, we propose two variants of path coverage to measure the adequacy of the test cases in exercising the decision logic. … dana chaaban carlton fields

"WebApr 11, 2024 · They are mainly based on coverage, which can be further divided into neuron coverage and multi-granularity neuron coverage. Neuron coverage based. Pei et al. [10] developed DeepXplore, the first white-box testing framework that introduced neuron coverage to find inputs that can trigger corner case behaviors between models. It … " - K-multisection neuron coverage

K-multisection neuron coverage

Revisiting Neuron Coverage Metrics and Quality of Deep Neural …

WebApr 21, 2024 · The different coverage criteria such as KMNC, NBC, SNAC, TKNC, and TKNP are used for the testing of DBN. Using the generated test inputs, the criteria is validated and the developed criteria are capable to capture undesired behaviors in the DBN structure. WebFeb 14, 2024 · For instance, k-multisection neuron coverage (KMNC) and neuron boundary coverage (NBC) observe the main-function and corner-case regions of neuron activation, …

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WebNov 2, 2024 · In this article, we provide an overview of structural coverage metrics for testing DNN models, including neuron coverage, k-multisection neuron coverage, top-k … Web在此基础上提出神经元n的k节神经元覆盖率 (k-multisection Neuron Coverage)，即神经元n激活值取值范围的k个等分节中被给定的测试输入集合覆盖到的比例：在此基础 …

WebTo this end, we used DeepXplore’s neuron coverage (NC); DeepGauge’s k-multisection neuron coverage (KMNC), neuron boundary coverage (NBC), strong neuron activation … WebNeuron coverage is the first coverage index proposed for neural networks[11], which is defined as the proportion of activated neurons in the neural network. Neuron coverage has ... On this basis, other coverage metrics including k-multisection neuron coverage[12] and ss-coverage [7] have

WebDec 3, 2024 · Following, three criteria were proposed (ma2024deepgauge), namely K-Multisection Neuron Coverage (KMNC), Neuron Boundary Coverage (NBC) and Strong Neuron Activation Coverage ... , Top-K Neuron Coverage (TKNC) and Top-K Neuron Patterns (TKNP). Both criteria denote a neuron as activated if its outputs are ranked at top-K … 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 …

WebDec 1, 2024 · Specifically, we propose a test subset selection algorithm that can automatically select a test suite with high coverage but a small size when the labeling budget is limited. Compared with...

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 ... birds beginning with gWebSurprise 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) dana chandler facebookWebSep 15, 2024 · Coverage-guided fuzzing Fuzzing [ 12] is one of the most effective methods to find bugs. From the way to produce test cases, there are mutation-based fuzzing and generation-based fuzzing. Mutation-based fuzzing modifies seed inputs to get a new test case (we call this process “mutation”). dana chadwick photographyWebNeuron Coverage ( NC) [1] K-Multisection Neuron Coverage ( KMNC) [2] Neuron Boundary Coverage ( NBC) [2] Strong Neuron Activation Coverage ( SNAC) [2] Top-K Neuron Coverage ( TKNC) [2] Top-K Neuron Patterns ( TKNP) [2] Cluster-based Coverage ( CC) [3] Likelihood Surprise Coverage ( LSC) [4] Distance-ratio Surprise Coverage ( DSC) [5] birds beginning with lWebAug 5, 2024 · In this article, we provide an overview of structural coverage metrics for testing DNN models, including neuron coverage (NC), k-multisection neuron coverage (kMNC), top-k neuron... dana chandler caseWebFeb 14, 2024 · For the coverage metrics of DeepHunter, we experimented with k-multisection neuron coverage (DH-KMNC) and neuron boundary coverage (DH-NBC), … birds beginning with fWebNeural Coverage (NC) used by DeepXplore and DeepTest [6], [10] and k-Multisection Neuron Coverage (KMNC) from DeepGauge [7] used by DeepHunter [13]. NC measures the total activation of neurons compared to the training data while KMNC applies a more ﬁne grained analysis measuring the activation k-activation ranges. To integrate the OOD- dana chambers wilmington nc