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Yulin ZHU
Yulin ZHU
Hong Kong Chu Hai College
Bestätigte E-Mail-Adresse bei chuhai.edu.hk
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Zitiert von
Zitiert von
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Structural attack against graph based android malware detection
K Zhao, H Zhou, Y Zhu, X Zhan, K Zhou, J Li, L Yu, W Yuan, X Luo
Proceedings of the 2021 ACM SIGSAC conference on computer and communications …, 2021
582021
Binarizedattack: Structural poisoning attacks to graph-based anomaly detection
Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Ren, K Zhou
2022 IEEE 38th International Conference on Data Engineering (ICDE), 14-26, 2022
312022
Attacking similarity-based sign prediction
MT Godziszewski, TP Michalak, M Waniek, T Rahwan, K Zhou, Y Zhu
2021 IEEE International Conference on Data Mining (ICDM), 1072-1077, 2021
112021
Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks
Y Lai, Y Zhu, B Pan, K Zhou
IEEE Symposium on Security and Privacy, 2023
52023
Towards adversarially robust recommendation from adaptive fraudster detection
Y Lai, Y Zhu, W Fan, X Zhang, K Zhou
IEEE Transactions on Information Forensics and Security, 2023
52023
FocusedCleaner: Sanitizing Poisoned Graphs for Robust GNN-based Node Classification
Y Zhu, L Tong, G Li, X Luo, K Zhou
IEEE Transactions on Knowledge and Data Engineering, 2023
42023
Towards secrecy-aware attacks against trust prediction in signed graphs
Y Zhu, T Michalak, X Luo, K Zhou
arXiv preprint arXiv:2206.13104, 2022
42022
Towards Secrecy-Aware Attacks Against Trust Prediction in Signed Social Networks
Y Zhu, T Michalak, X Luo, X Zhang, K Zhou
IEEE Transactions on Information Forensics and Security, 2024
32024
Universally Robust Graph Neural Networks by Preserving Neighbor Similarity
Y Zhu, Y Lai, X Ai, K Zhou
arXiv preprint arXiv:2401.09754, 2024
22024
Adversarial analysis of similarity-based sign prediction
MT Godziszewski, M Waniek, Y Zhu, K Zhou, T Rahwan, TP Michalak
Artificial Intelligence 335, 104173, 2024
12024
Coupled-Space Attacks Against Random-Walk-Based Anomaly Detection
Y Lai, M Waniek, L Li, J Wu, Y Zhu, TP Michalak, T Rahwan, K Zhou
IEEE Transactions on Information Forensics and Security, 2024
12024
Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks
Y Han, Y Lai, Y Zhu, K Zhou
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach
X Ai, J Zhou, Y Zhu, G Li, TP Michalak, X Luo, K Zhou
2024 IEEE 40th International Conference on Data Engineering (ICDE), 2023
12023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning
Y Zhu, X Ai, Y Vorobeychik, K Zhou
arXiv preprint arXiv:2307.12555, 2023
12023
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks
X Ai, G Zhu, Y Zhu, Y Zheng, G Li, J Li, K Zhou
arXiv preprint arXiv:2408.16537, 2024
2024
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection
Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Wu, J Ren, K Zhou
IEEE Transactions on Neural Networks and Learning Systems, 2024
2024
Uncovering Strong Ties: A Study of Indirect Sybil Attack on Signed Social Network
Y Bu, Y Zhu, L Geng, K Zhou
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Unleashing the Power of Indirect Attacks against Trust Prediction via Preferential Path
Y Bu, Y Zhu, L Geng, K Zhou
Knowledge and Information Systems, 2023
2023
Simple yet Effective Gradient-Free Graph Convolutional Networks
Y Zhu, X Ai, Q Li, XM Wu, K Zhou
arXiv preprint arXiv:2302.00371, 2023
2023
Adversarial Robustness of Graph-based Anomaly Detection
Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Ren, K Zhou
arXiv e-prints, arXiv: 2206.08260, 2022
2022
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