privacy-utility-trade-off

Privacy-utility trade-off analysis for AI code completion using AST-based obfuscation techniques on HumanEval dataset. Measures how variable renaming and comment stripping affect CodeGen model output quality via CodeBLEU and Levenshtein distance metrics.

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5 SrcLog Score

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$500

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$500

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Growth over time

6 data points · 2026-04-14 → 2026-09-16

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What is the ognjenvujovic04/privacy-utility-trade-off GitHub project? Description: "Privacy-utility trade-off analysis for AI code completion using AST-based obfuscation techniques on HumanEval dataset. Measures how variable renaming and comment stripping affect CodeGen model output quality via CodeBLEU and Levenshtein distance metrics.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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