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Criticalfuzz: A Critical Neuron Coverage-Guided Fuzz Testing Framework for Deep Neural Networks
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inferredcites →https://doi.org/10.1002/int.23072openalex-extracted
Ex 2 : Monte Carlo Tree Search‐based test inputs prioritization for fuzzing deep neural networks
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_11openalex-extracted
Multimodal Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.1007/s10489-020-01829-7openalex-extracted
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
inferredcites →https://doi.org/10.1016/j.infsof.2021.106701openalex-extracted
DeepBackground: Metamorphic testing for Deep-Learning-driven image recognition systems accompanied by Background-Relevance
inferredcites →https://doi.org/10.1038/s41746-020-00376-2openalex-extracted
Deep learning-enabled medical computer vision
inferredcites →https://doi.org/10.1109/5.726791openalex-extracted
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01232openalex-extracted
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00142openalex-extracted
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
inferredcites →https://doi.org/10.1109/icse.2019.00108openalex-extracted
Guiding Deep Learning System Testing Using Surprise Adequacy
inferredcites →https://doi.org/10.1109/issre.2018.00021openalex-extracted
DeepMutation: Mutation Testing of Deep Learning Systems
inferredcites →https://doi.org/10.1109/saner.2019.8668044openalex-extracted
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
inferredcites →https://doi.org/10.1109/tciaig.2012.2186810openalex-extracted
A Survey of Monte Carlo Tree Search Methods
inferredcites →https://doi.org/10.1109/tpami.2014.2321376openalex-extracted
Scalable Nearest Neighbor Algorithms for High Dimensional Data
inferredcites →https://doi.org/10.1145/1883612.1883618openalex-extracted
A survey of combinatorial testing
inferredcites →https://doi.org/10.1145/3238147.3238172openalex-extracted
Concolic testing for deep neural networks
inferredcites →https://doi.org/10.1145/3238147.3238187openalex-extracted
DeepRoad: GAN-based metamorphic testing and input validation framework for autonomous driving systems
inferredcites →https://doi.org/10.1145/3238147.3238202openalex-extracted
DeepGauge: multi-granularity testing criteria for deep learning systems
inferredcites →https://doi.org/10.1145/3293882.3330579openalex-extracted
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks
inferredcites →https://doi.org/10.1145/3368089.3409754openalex-extracted
Is neuron coverage a meaningful measure for testing deep neural networks?
inferredcites →https://doi.org/10.1145/3395363.3397346openalex-extracted
Effective white-box testing of deep neural networks with adaptive neuron-selection strategy
inferredcites →https://doi.org/10.24963/ijcai.2019/800openalex-extracted
DiffChaser: Detecting Disagreements for Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1602.03616openalex-extracted
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1607.03250openalex-extracted
Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
inferredcites →https://doi.org/10.48550/arxiv.1803.04792openalex-extracted
Testing Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1804.04732openalex-extracted
Multimodal Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.48550/arxiv.1806.02891openalex-extracted
Revisiting the Importance of Individual Units in CNNs via Ablation
inferredcites →https://doi.org/10.48550/arxiv.1807.10439openalex-extracted
Symbolic Execution for Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2002.12543openalex-extracted
Metamorphic Testing: A New Approach for Generating Next Test Cases
inferredcites →https://doi.org/10.48550/arxiv.2203.12915openalex-extracted
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2206.03075openalex-extracted
A Sequential Metamorphic Testing Framework for Understanding Automated Driving Systems
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