Bang Wu

23 papers A* 7A 2Journal 13Unranked 1
YearRankTypeTitle / 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