Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing-Reference-Cited by-同舟云学术

Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
language:
Short-container-title:

Author:

Yuan Yuanyuan¹^ORCID,Pang Qi¹^ORCID,Wang Shuai¹^ORCID

Affiliation:

1. The Hong Kong University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3561157

Reference67 articles.

1. [n.d.]. Research Artifact. https://github.com/Yuanyuan-Yuan/Decision-Oracle. [n.d.]. Research Artifact. https://github.com/Yuanyuan-Yuan/Decision-Oracle.

2. Marco Ancona Cengiz Oztireli and Markus Gross. 2019. Explaining deep neural networks with a polynomial time for shapley value approximation(PMLR). Marco Ancona Cengiz Oztireli and Markus Gross. 2019. Explaining deep neural networks with a polynomial time for shapley value approximation(PMLR).

3. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

4. Nicholas Carlini and David Wagner . 2017. Towards evaluating the robustness of neural networks ( IEEE SP) . Nicholas Carlini and David Wagner. 2017. Towards evaluating the robustness of neural networks(IEEE SP).

5. Exploring neural networks with activation atlases;Carter Shan;Distill,2019

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neuron Semantic-Guided Test Generation for Deep Neural Networks Fuzzing;ACM Transactions on Software Engineering and Methodology;2024-08-14

2. DDImage: an image reduction based approach for automatically explaining black-box classifiers;Empirical Software Engineering;2024-07-30

3. Metamorphic Testing of Secure Multi-party Computation (MPC) Compilers;Proceedings of the ACM on Software Engineering;2024-07-12

4. Provably Valid and Diverse Mutations of Real-World Media Data for DNN Testing;IEEE Transactions on Software Engineering;2024-05

5. MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation;Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering;2024-04-14