Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
K. Chen, D. Wang*, Y. Liu, H. Zhang, W. Wang - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), July, 2025.
Defending LVLMs Against Vision Attacks through Partial-Perception Supervision
Q. Zhou, T. Li, D. Wang*, Y. Lin, Y. Liu, J. Dong, Q. Guo - The International Conference on Machine Learning (ICML), July, 2025.
ORFuzz: Fuzzing the "Other Side" of LLM Safety -- Testing Over-Refusal
H. Zhang, D. Wang*, Y. Liu, K. Chen, J. Wang, X. Ying, L. Liu, W. Wang - Proceedings of the 40th IEEE/ACM Automated Software Engineering Conference (ASE), Nov 2025.
LightKG: Efficient Knowledge‑Aware Recommendations with Simplified GNN Architecture
Y. Li, D. Wang*, Z. Sun, H. Zhang, H. Guo – Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), Aug, 2025.
Enhancing New‑item Fairness in Dynamic Recommender Systems,
H. Guo, Z. Sun, D. Wang*, T. Wei, J. Li, J. Zhang – Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July, 2025.
KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
H. Zhang, D. Wang*, Z. Sun, Y. Li, Y. Sun, H. Liang, W. Wang – ACM Transactions on Information Systems (TOIS), 2025.
S‑Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models
X. Yuan, J. Li, D. Wang*, Y. Chen, X. Mao, L. Huang, J. Chen, H. Xue, X. Liu, W. Wang, K. Ren, J. Wang – Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), June 2025.
Configurable Fairness for New Item Recommendation Considering Entry Time of Items
H. Guo, D. Wang*, Z. Sun, H. Zhang, J. Li, J. Zhang – Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), July, 2024.
Provably secure decisions based on potentially malicious information
D. Wang, T. Muller, J. Sun – IEEE Transactions on Dependable and Secure Computing (TDSC), 2024.
Stability of Weighted Majority Voting under Estimated Weights
S. Bai, D. Wang*, T. Muller, P. Cheng, J. Chen - Proc. of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2024.
Understanding Code Changes Practically with Small‑Scale Language Models
C. Li, Z. Xu, P. Di, D. Wang, Z. Li, Q. Zheng – Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE), Oct 2024.
FairRec: Fairness Testing for Deep Recommender Systems
H. Guo, J. Li, J. Wang, X. Liu, D. Wang*, Z. Hu, R. Zhang, H. Xue – Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), July 2023.
(Gave birth to my boy YZ)
Robot: Robustness-oriented Testing for Deep Learning Systems
J. Wang, J. Chen, Y. Sun, X. Ma, D. Wang*, J. Sun, P. Cheng - 43rd International Conference on Software Engineering (ICSE), May 2021.
Secure Decision Making with Arbitrarily Malicous Recommendations
D. Wang, T. Muller, J. Sun - In proceedings of The 33rd IEEE Computer Security Foundations Symposium (CSF), June 2020.
Information Theoretical Analysis of Unfair Rating Attacks under Subjectivity
D. Wang, T. Muller, J. Zhang, Y. Liu - IEEE Transactions on Information Forensics and Security (TIFS), 2019.
Multi-Source Trust Revision
A. Josang, J. Zhang, D. Wang - 20th International Conference on Information Fusion (Fusion), July 2017.
Is it Harmful when Advisors only Pretend to be Honest?
D. Wang, T. Muller, J. Zhang, Y. Liu - In Proceedings of the 30th AAAI Conference on Artififical Intelligence (AAAI), Feb 2016.
How to Use Information Theory to Mitigate Unfair Rating Attacks
T. Muller, D. Wang, J.Zhang, Y. Liu - In Proceedings of the 10th IFIP International Conference on Trust Management (IFIPTM), July 2016. (Best Paper Award)
Quantifying Robustness of Trust Systems against Collusive Unfair Rating Attacks Using Information Theory
D. Wang, T. Muller, J. Zhang, Y. Liu - In Proceeding of the 24th International Joint Conference on Artifificial Intelligence (IJCAI), July 2015.
Using Information Theory to Improve the Robustness of Trust System
D. Wang, T. Muller, A. Aravazhi Irissappane, J. Zhang, Y. Liu - In Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2015.
D. Wang, T. Muller, A. Josang - In Proceedings of 12th International Conference on Modeling Decisions for Artificial Intelligence (MDAI), Sep 2015.
Towards Robust and Effective Trust Management for Security: A Survey
D. Wang, T. Muller, Y. Liu, J. Zhang - In Proceedings of the 13th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (Trust-Com), Sep 2014.