CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models-Reference-Cited by-同舟云学术

CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models

Published:2023-11-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
language:
Short-container-title:

Author:

Sun Zhensu¹,Du Xiaoning²,Song Fu³,Li Li¹

Affiliation:

1. Beihang University, Beijing, China

2. Monash University, Melbourne, Australia

3. Institute of Software, Chinese Academy of Sciences, Beijing, China / University of Chinese Academy of Sciences, Beijing, China / Automotive Software Innovation Center, Chongqing, China

Funder

National Natural Science Foundation of China

CAS Project for Young Scientists in Basic Research

ISCAS New Cultivation Project

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611643.3616297

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4. 2022. GitHub Copilot · Your AI pair programmer. https://copilot.github.com/ 2022. GitHub Copilot · Your AI pair programmer. https://copilot.github.com/

5. 2022. How is the data in Copilot for Individuals used and shared? https://github.com/features/copilot/##how-is-the-data-in-copilot-for-individuals-used-and-shared 2022. How is the data in Copilot for Individuals used and shared? https://github.com/features/copilot/##how-is-the-data-in-copilot-for-individuals-used-and-shared

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