Publications

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).

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).

Jialiang Dong, Zhitao Guan, Longfei Wu, Xiaojiang Du, Mohsen Guizani (2021). A Sentence-Level Text Adversarial Attack Algorithm against IIoT based Smart Grid. Computer Networks.