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08/28/2023
CodeMark: Imperceptible Watermarking for Code Datasets against Neural Code Completion Models
Code datasets are of immense value for training neural-network-based cod...
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05/31/2023
Data Augmentation Approaches for Source Code Models: A Survey
The increasingly popular adoption of source code in many critical tasks ...
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03/01/2023
Frauds Bargain Attack: Generating Adversarial Text Samples via Word Manipulation Process
Recent studies on adversarial examples expose vulnerabilities of natural...
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09/13/2022
Learning to Prevent Profitless Neural Code Completion
Currently, large pre-trained models are widely applied in neural code co...
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02/14/2022
On the Importance of Building High-quality Training Datasets for Neural Code Search
The performance of neural code search is significantly influenced by the...
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10/25/2021
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
Github Copilot, trained on billions of lines of public code, has recentl...
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08/07/2020
PSCS: A Path-based Neural Model for Semantic Code Search
To obtain code snippets for reuse, programmers prefer to search for rela...
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05/24/2020
