Papers by Xiaoying Han

2 papers
Adversarial Attack against Cross-lingual Knowledge Graph Alignment (2021.emnlp-main)

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Challenge: Existing studies on cross-lingual entity alignment under adversarial attacks have not been conducted.
Approach: They propose to use adversarial attack techniques to perturb cross-lingual entity alignment under adversarials.
Outcome: The proposed model hides the attacked entities in dense regions in two KGs, and reduces the gradient vanishing issues in the process of adversarial attacks for further improving the attack effectiveness.
SafeConf: A Confidence-Calibrated Safety Self-Evaluation Method for Large Language Models (2025.findings-emnlp)

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Challenge: Large language models (LLMs) have many advantages but they also pose significant safety risks.
Approach: They propose a method to enhance the safety self-evaluation capability of LLMs . they perform semantic mutations on the original safety evaluation questions .
Outcome: The proposed method improves safety self-evaluation accuracy by 5.86% and 7.79% over baseline methods on Chinese and English datasets.

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