Publications

Zihan Ni, Jialiang Dong, Runtao He, Nan Sun, Willy Susilo, Surya Nepal, Siqi Ma (2026). Shape Before You Build: Secure Cryptographic Code Generation via Prompt Optimization. The 41st IFIP TC11 Information Security & Privacy Conference (IFIP SEC 2026).

Jialiang Dong, Zihan Ni, Nan Sun, Sanjay Jha, Yiwei Zhang, Elisa Bertino, Surya Nepal, Siqi Ma (2025). Securing AI Code Generation - A Prompt Rectification Approach for Mitigating Cyber Risks. The 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Outstanding Paper.

Jialiang Dong, Zihan Ni, Willy Susilo, Siqi Ma (2025). Ghosts in DBMS: Revealing the Security Impacts of Silent Fixes. The 3rd International Conference on Data Security and Privacy Protection (DSPP), Best Paper.

Xuan Li, Jialiang Dong, Raymond Wong (2025). From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis. The 28th European Conference on Artificial Intelligence (ECAI).

Jialiang Dong, Xinzhang Chen, Willy Susilo, Nan Sun, Arash Shaghaghi, Siqi Ma (2025). What Lies Beneath: An Empirical Study of Silent Vulnerability Fixes in Open-Source Software. The 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Shangzhi Xu, Jialiang Dong, Weiting Cai, Juanru Li, Arash Shaghaghi, Nan Sun, Siqi Ma (2025). Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis. ISOC 32th Network and Distributed System Security Symposium (NDSS).

Shen Wang, Jialiang Dong (Co-First), Longfei Wu, Zhitao Guan (2024). WEDA: Exploring Copyright Protection for Large Language Model Downstream Alignment. IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP).

Huoyuan Dong, Jialiang Dong, Shaohua Wan, Shuai Yuan, Zhitao Guan (2023). Transferable Adversarial Distribution Learning: Query-Efficient Adversarial Attack against Large Language Models. Computers & Security (COSE).

Huoyuan Dong, Jialiang Dong, Shuai Yuan, Zhitao Guan (2022). Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective. International Conference on Machine Learning for Cyber Security (ML4CS).

Jialiang Dong, Shen Wang, Longfei Wu, Huoyuan Dong, Zhitao Guan (2022). A Textual Adversarial Attack Scheme for Domain-Specific Models. International Conference on Machine Learning for Cyber Security (ML4CS).