Papers by Hongyan Chang
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models (2025.emnlp-main)
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| Challenge: | Prior Membership Inference Attacks on pre-trained Large Language Models fail at LLMs due to ignoring the generative nature of LLM data. |
| Approach: | They propose a method that adapts MIA statistical tests to the perplexity dynamics of subsequences within a data point. |
| Outcome: | The proposed method significantly outperforms prior approaches, revealing context-dependent memorization patterns in pre-trained LLMs. |
Watermark Smoothing Attacks against Language Models (2025.findings-emnlp)
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| Challenge: | Watermarking is a key technique for detecting AI-generated text. |
| Approach: | They propose a method to selectively smooth watermarks by leveraging the relationship between the model’s confidence and detectability. |
| Outcome: | The proposed method selectively smoothes watermark traces while preserving text quality. |