Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing-Reference-Cited by-同舟云学术

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing

Published:2023-07-12 Issue: Volume: Page:
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Container-title:Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis
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Author:

Xiao Yisong¹,Liu Aishan²,Li Tianlin³,Liu Xianglong⁴

Affiliation:

1. Beihang University, China

2. Beihang University, China / Institute of Dataspace, China

3. Nanyang Technological University, Singapore

4. Beihang University, China / Institute of Dataspace, China / Zhongguancun Laboratory, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China - State Grid Corporation Joint Fund for Smart Grid

State Key Laboratory of Software Development Environment.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3597926.3598099

Reference84 articles.

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2. 2014. The bank dataset. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing 2014. The bank dataset. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing

3. 2015. The meps dataset. https://meps.ahrq.gov/mepsweb/data_stats/download_data_files_detail.jsp?cboPufNumber=HC-192 2015. The meps dataset. https://meps.ahrq.gov/mepsweb/data_stats/download_data_files_detail.jsp?cboPufNumber=HC-192

4. 2017. The adult census income dataset. https://archive.ics.uci.edu/ml/datasets/adult 2017. The adult census income dataset. https://archive.ics.uci.edu/ml/datasets/adult

5. Black box fairness testing of machine learning models

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