Stealing Hyperparameters in Machine Learning B Wang, NZ Gong IEEE Symposium on Security and Privacy (S & P), 2018 | 586 | 2018 |
Backdoor attacks to graph neural networks Z Zhang, J Jia, B Wang, NZ Gong SACMAT2021, 2021 | 187 | 2021 |
Lotteryfl: Personalized and communication-efficient federated learning with lottery ticket hypothesis on non-iid datasets A Li, J Sun, B Wang, L Duan, S Li, Y Chen, H Li ACM/IEEE 6th Symposium on Edge Computing (SEC), 2021 | 177* | 2021 |
Soteria: Provable defense against privacy leakage in federated learning from representation perspective J Sun, A Li, B Wang, H Yang, H Li, Y Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 162* | 2021 |
Attacking Graph-based Classification via Manipulating the Graph Structure B Wang, NZ Gong ACM Conference on Computer and Communications Security (CCS), 2019 | 150 | 2019 |
Random walk based fake account detection in online social networks J Jia, B Wang, NZ Gong 2017 47th annual IEEE/IFIP international conference on dependable systems …, 2017 | 137 | 2017 |
AttriInfer: Inferring user attributes in online social networks using markov random fields J Jia, B Wang, L Zhang, NZ Gong Proceedings of the 26th International Conference on World Wide Web, 1561-1569, 2017 | 106 | 2017 |
Graphfl: A federated learning framework for semi-supervised node classification on graphs B Wang, A Li, M Pang, H Li, Y Chen 2022 IEEE International Conference on Data Mining (ICDM), 498-507, 2022 | 105 | 2022 |
On Certifying Robustness against Backdoor Attacks via Randomized Smoothing B Wang, X Cao, J Jia, NZ Gong 2020 CVPR Workshop - Best Abstract Award, 2020 | 104 | 2020 |
Sybilfuse: Combining local attributes with global structure to perform robust sybil detection P Gao, B Wang, NZ Gong, SR Kulkarni, K Thomas, P Mittal 2018 IEEE conference on communications and network security (CNS), 1-9, 2018 | 104* | 2018 |
GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graphs B Wang, NZ Gong, H Fu IEEE International Conference on Data Mining (ICDM), 2017 | 99 | 2017 |
SybilSCAR: Sybil detection in online social networks via local rule based propagation B Wang, L Zhang, NZ Gong IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 96 | 2017 |
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing J Jia, X Cao, B Wang, NZ Gong International Conference on Learning Representations (ICLR), 2020 | 92 | 2020 |
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing B Wang*, J Jia*, X Cao, NZ Gong The Web Conference (WWW), 2020 | 82 | 2020 |
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability N Inkawhich, KJ Liang, B Wang, M Inkawhich, L Carin, Y Chen NeurIPS, 2020 | 78 | 2020 |
A turn-on fluorescence probe Eu3+ functionalized Ga-MOF integrated with logic gate operation for detecting ppm-level ciprofloxacin (CIP) in urine B Wang, B Yan Talanta 208, 120438, 2020 | 77 | 2020 |
Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization C Lin, B Wang, N Jiang, D Farina Journal of neural engineering 15 (2), 026017, 2018 | 73 | 2018 |
Certified robustness of graph neural networks against adversarial structural perturbation B Wang, J Jia, X Cao, NZ Gong ACM SIGKDD'21, 2021 | 57 | 2021 |
Structure-based sybil detection in social networks via local rule-based propagation B Wang, J Jia, L Zhang, NZ Gong IEEE Transactions on Network Science and Engineering 6 (3), 523-537, 2018 | 57 | 2018 |
Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation B Wang, J Jia, NZ Gong ISOC Network and Distributed System Security Symposium (NDSS), 2019 | 56 | 2019 |