Papers by Kingsum Chow

2 papers
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing (2025.emnlp-main)

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Challenge: Open-source code language models (code LMs) are a growing threat for intellectual property protection.
Approach: They propose a black-box code LM watermarking framework that uses rule-based watermarks and utility-preserving injection method for user-level model tracing.
Outcome: The proposed framework shows that it performs well across multiple state-of-the-art code LMs and is harmless compared to existing baselines.
SecCoder: Towards Generalizable and Robust Secure Code Generation (2024.emnlp-main)

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Challenge: Existing secure code generation methods have limited generalizability to unseen test cases and poor robustness against the attacked model, leading to safety failures in code generation.
Approach: They propose a generalizable and robust secure code generation method SecCoder by using in-context learning and the safe demonstration.
Outcome: The proposed method achieves a significant security improvement of 7.20% on unseen test cases and better robustness against the attacked model.

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