A sentence-level text adversarial attack algorithm against IIoT based smart grid. - Jialiang Dong; Zhitao Guan; Longfei Wu; Xiaojiang Du; Mohsen Guizani (Comput. Networks, 2021)

Adversarial Attack and Defense on Natural Language Processing in Deep Learning: A Survey and Perspective. - Huoyuan Dong; Jialiang Dong; Shuai Yuan 006; Zhitao Guan (ML4CS (1), 2022)

A Textual Adversarial Attack Scheme for Domain-Specific Models. - Jialiang Dong; Shen Wang 012; Longfei Wu; Huoyuan Dong; Zhitao Guan (ML4CS (2), 2022)

Towards Explainability in NLP: Analyzing and Calculating Word Saliency through Word Properties. - Jialiang Dong; Zhitao Guan; Longfei Wu; Zijian Zhang 001 (CoRR, 2022)

Transferable adversarial distribution learning: Query-efficient adversarial attack against large language models. - Huoyuan Dong; Jialiang Dong; Shaohua Wan 001; Shuai Yuan 006; Zhitao Guan (Comput. Secur., 2023)

Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis. - Shangzhi Xu; Jialiang Dong; Weiting Cai; Juanru Li; Arash Shaghaghi; Nan Sun 002; Siqi Ma (CoRR, 2024)

WEDA: Exploring Copyright Protection for Large Language Model Downstream Alignment. - Shen Wang 012; Jialiang Dong; Longfei Wu; Zhitao Guan (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

What Lies Beneath: An Empirical Study of Silent Vulnerability Fixes in Open-Source Software. - Jialiang Dong; Xinzhang Chen; Willy Susilo; Nan Sun 002; Arash Shaghaghi; Siqi Ma (DSN, 2025)

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

From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis. - Xuan Li; Jialiang Dong; Raymond Wong (CoRR, 2025)