Bang Wu - RankMe

23 papers A* 7A 2Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks. AAAI He Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor, Xun Yi
2025	A*	`conf`	Dynamic Graph Unlearning: A General and Efficient Post-Processing Method via Gradient Transformation. WWW He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Xiaoning Liu, Xun Yi
2024	J	`jnl`	DeFiGuard: A Price Manipulation Detection Service in DeFi Using Graph Neural Networks. IEEE Trans. Serv. Comput. Dabao Wang, Bang Wu, Xingliang Yuan, Lei Wu, Yajin Zhou, Helei Cui
2024	J	`jnl`	DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks. CoRR Dabao Wang, Bang Wu, Xingliang Yuan, Lei Wu, Yajin Zhou, Helei Cui
2024	J	`jnl`	Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan
2024	A*	`conf`	GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. NDSS Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
2024	A*	`conf`	Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. SP Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
2024	J	`jnl`	Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
2023	J	`jnl`	Defeating Misclassification Attacks Against Transfer Learning. IEEE Trans. Dependable Secur. Comput. Bang Wu, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph, Xiangwen Yang
2023	A*	`conf`	Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. ICML He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan
2023	J	`jnl`	GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. CoRR Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
2023	J	`jnl`	Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. CoRR Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
2023	—	`conf`	Toward Evaluating the Robustness of Deep Learning Based Rain Removal Algorithm in Autonomous Driving. SecTL@AsiaCCS Yiming Qin, Jincheng Hu, Bang Wu
2022	J	`jnl`	Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge. IEEE Trans. Inf. Forensics Secur. Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi
2022	A	`conf`	Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. AsiaCCS Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
2022	J	`jnl`	Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
2021	A*	`conf`	Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. ICDM Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
2021	J	`jnl`	Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. CoRR Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
2021	A	`conf`	Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan
2021	A*	`conf`	Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract). AAAI Bang Wu, Shirui Pan, Xingliang Yuan
2020	J	`jnl`	Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge. IACR Cryptol. ePrint Arch. Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi
2020	J	`jnl`	Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization. CoRR Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
2019	J	`jnl`	Defending Against Misclassification Attacks in Transfer Learning. CoRR Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph