Papers by Zeru Zhang
Adversarial Attack against Cross-lingual Knowledge Graph Alignment (2021.emnlp-main)
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Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan
| 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. |
Castle: Causal Cascade Updates in Relational Databases with Large Language Models (2025.emnlp-main)
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| Challenge: | Existing approaches focus primarily on SELECT queries, neglecting the challenges of SQL update operations and their ripple effects. |
| Approach: | They introduce the first framework for schema-only cascade update generation using large language models. |
| Outcome: | The framework can produce accurate SQL updates without revealing table content . it can also determine which columns must be updated and how updates propagate through the schema, causing cascading updates . |