Towards Robust and Effective Trust Management for Security: A Survey. - Dongxia Wang 002; Tim Muller; Yang Liu 003; Jie Zhang 002 (TrustCom, 2014)

Using Information Theory to Improve the Robustness of Trust Systems. - Dongxia Wang 002; Tim Muller; Athirai Aravazhi Irissappane; Jie Zhang 002; Yang Liu 003 (AAMAS, 2015)

Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory. - Dongxia Wang 002; Tim Muller; Jie Zhang 002; Yang Liu 003 (IJCAI, 2015)

Information Theory for Subjective Logic. - Tim Muller; Dongxia Wang 002; Audun Jøsang (MDAI, 2015)

Is It Harmful When Advisors Only Pretend to Be Honest? - Dongxia Wang 002; Tim Muller; Jie Zhang 002; Yang Liu 003 (AAAI, 2016)

How to Use Information Theory to Mitigate Unfair Rating Attacks. - Tim Muller; Dongxia Wang 002; Yang Liu 003; Jie Zhang 002 (IFIPTM, 2016)

Multi-source fusion in subjective logic. - Audun Jøsang; Dongxia Wang 002; Jie Zhang 002 (FUSION, 2017)

Multi-source trust revision. - Audun Jøsang; Jie Zhang 002; Dongxia Wang 002 (FUSION, 2017)

Quantifying and improving the robustness of trust systems - Dongxia Wang 002 (2018)

Provably Robust Decisions based on Potentially Malicious Sources of Information. - Tim Muller; Dongxia Wang 002; Jun Sun 001 (CSF, 2020)

Information Theoretical Analysis of Unfair Rating Attacks Under Subjectivity. - Dongxia Wang 002; Tim Muller; Jie Zhang 002; Yang Liu 003 (IEEE Trans. Inf. Forensics Secur., 2020)

RobOT: Robustness-Oriented Testing for Deep Learning Systems. - Jingyi Wang 004; Jialuo Chen; Youcheng Sun; Xingjun Ma; Dongxia Wang 002; Jun Sun 001; Peng Cheng 001 (ICSE, 2021)

An Interactive System for Unfair Rating Detection Models in a Customized Perspective. - Ke Lv; Yuan Liu 002; Jienan Chen; Dongxia Wang 002; Zhihong Tian (TrustCom, 2021)

Stability of Weighted Majority Voting under Estimated Weights. - Shaojie Bai; Dongxia Wang 002; Tim Muller; Peng Cheng 001; Jiming Chen 001 (AAMAS, 2023)

FairRec: Fairness Testing for Deep Recommender Systems. - Huizhong Guo; Jinfeng Li; Jingyi Wang 004; Xiangyu Liu; Dongxia Wang 002; Zehong Hu; Rong Zhang 006; Hui Xue 001 (ISSTA, 2023)

Prompting Frameworks for Large Language Models: A Survey. - Xiaoxia Liu; Jingyi Wang 004; Jun Sun 001; Xiaohan Yuan; Guoliang Dong; Peng Di; Wenhai Wang; Dongxia Wang 002 (CoRR, 2023)

Understanding Code Changes Practically with Small-Scale Language Models. - Cong Li; Zhaogui Xu; Peng Di; Dongxia Wang 002; Zheng Li; Qian Zheng (ASE, 2024)

Configurable Fairness for New Item Recommendation Considering Entry Time of Items. - Huizhong Guo; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Jinfeng Li; Jie Zhang 002 (SIGIR, 2024)

FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution. - Qi Zhou 012; Dongxia Wang 002; Tianlin Li; Zhihong Xu; Yang Liu 003; Kui Ren 001; Wenhai Wang; Qing Guo 005 (CoRR, 2024)

Does Knowledge Graph Really Matter for Recommender Systems? - Haonan Zhang; Dongxia Wang 002; Zhu Sun 001; Yanhui Li; Youcheng Sun; Huizhi Liang; Wenhai Wang (CoRR, 2024)

S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Hui Xue 001; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (CoRR, 2024)

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. - Ziqing Wu; Zhu Sun 001; Dongxia Wang 002; Lu Zhang 063; Jie Zhang 002; Yew Soon Ong (CoRR, 2024)

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision. - Qi Zhou 012; Tianlin Li; Qing Guo 005; Dongxia Wang 002; Yun Lin 001; Yang Liu 003; Jin Song Dong 001 (CoRR, 2024)

Provably Secure Decisions Based on Potentially Malicious Information. - Dongxia Wang 002; Tim Muller; Jun Sun 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Enhancing New-item Fairness in Dynamic Recommender Systems. - Huizhong Guo; Zhu Sun 001; Dongxia Wang 002; Tianjun Wei; Jinfeng Li; Jie Zhang 002 (SIGIR, 2025)

S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models. - Xiaohan Yuan; Jinfeng Li; Dongxia Wang 002; Yuefeng Chen; Xiaofeng Mao; Longtao Huang; Jialuo Chen; Hui Xue 001; Xiaoxia Liu; Wenhai Wang; Kui Ren 001; Jingyi Wang 004 (Proc. ACM Softw. Eng., 2025)

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity. - Qi Zhou 012; Jie Zhang 002; Dongxia Wang 002; Qiang Liu; Tianlin Li; Jin Song Dong; Wenhai Wang; Qing Guo 005 (CoRR, 2025)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? - Haonan Zhang; Dongxia Wang 002; Zhu Sun 001; Yanhui Li; Youcheng Sun; Huizhi Liang; Wenhai Wang (ACM Trans. Inf. Syst., 2025)

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture. - Yanhui Li; Dongxia Wang 002; Zhu Sun 001; Haonan Zhang; Huizhong Guo (CoRR, 2025)