Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling

Author:

Zhang Peixin,Wang Jingyi,Sun Jun,Wang Xinyu,Dong Guoliang,Wang Xingen,Dai Ting,Dong Jin Song

Funder

Ministry of Education Singapore

Key Research and Development Program of Zhejiang Province

Key-Area Research and Development Program of Guangdong Province

Fundamental Research Funds for the Zhejiang University NGICS Platform the Guangdong Science and Technology Department

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Cited by 11 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. Distribution-aware fairness test generation;Journal of Systems and Software;2024-09

2. Fairness in machine learning: definition, testing, debugging, and application;Science China Information Sciences;2024-08-15

3. Fairness Testing: A Comprehensive Survey and Analysis of Trends;ACM Transactions on Software Engineering and Methodology;2024-06-04

4. Algorithmic Individual Fairness and Healthcare: A Scoping Review;2024-03-26

5. RAI4IoE: Responsible AI for Enabling the Internet of Energy;2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA);2023-11-01

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