Statically detecting data leakages in data science code-Reference-Cited by-同舟云学术

Statically detecting data leakages in data science code

Published:2022-06-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis
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Author:

Subotić Pavle¹,Bojanić Uroš¹,Stojić Milan¹

Affiliation:

1. Microsoft, Serbia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3520313.3534657

Reference15 articles.

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3. 2022. leak-detect. https://github.com/abhayspawar/leak-detect Accessed: 2022-03-08. 2022. leak-detect. https://github.com/abhayspawar/leak-detect Accessed: 2022-03-08.

4. Sumon Biswas , Mohammad Wardat , and Hridesh Rajan . 2022 . The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large . In ICSE’22: The 44th International Conference on Software Engineering. https://doi.org/10 .1145/3510003.3510057 10.1145/3510003.3510057 Sumon Biswas, Mohammad Wardat, and Hridesh Rajan. 2022. The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large. In ICSE’22: The 44th International Conference on Software Engineering. https://doi.org/10.1145/3510003.3510057

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