Xiangwen Yang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Graph Classification

Transfer Learning

Learned From Training Data

Top Venues

Publications

He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR (2024)
He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. ICML (2023)
Bang Wu, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph, Xiangwen Yang
Defeating Misclassification Attacks Against Transfer Learning. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. CoRR (2023)
Muhammed F. Esgin, Oguzhan Ersoy, Veronika Kuchta, Julian Loss, Amin Sakzad, Ron Steinfeld, Xiangwen Yang, Raymond K. Zhao
A New Look at Blockchain Leader Election: Simple, Efficient, Sustainable and Post-Quantum. AsiaCCS (2023)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. AsiaCCS (2022)
He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM (2021)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. ICDM (2021)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. CoRR (2021)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization. CoRR (2020)
Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph
Defending Against Misclassification Attacks in Transfer Learning. CoRR (2019)