Published November 15, 2024 | Version v2
Publication Open

Mutation-Guided ZK Parameterization: An Extended Quantitative Study of Leakage, Cost, and Robust Knee Selection

Contributors

Description

This archive provides the reproducible artifacts for “Mutation-Guided ZK Parameterization.” It contains the final output images (PNG) generated from the run and the IEEE-styled paper as research.pdf. The artifacts correspond to the results hosted at https://zk.srimanhq.com and are intended for verification and citation. Prepared by Sriman Yalavarthi and Anirudh Narkedamilly (Independent Researcher). No external funding; conducted independently.

Files

research.pdf

Files (6.4 MB)

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md5:c32bfaaba3de7016591b4d8c895fb588
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md5:e43ec31a3df9f93fc80a5df585ee4037
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Additional details

Related works

Is documented by
Thesis: https://zk.srimanhq.com/paper/research.pdf (URL)
Is referenced by
Publication: 10.5281/zenodo.17545948 (DOI)
Is supplement to
Report: https://zk.srimanhq.com (URL)

Software

Programming language
Python
Development Status
Suspended