Adversarial privacy-preserving graph embedding against inference attack K Li, G Luo, Y Ye, W Li, S Ji, Z Cai
IEEE Internet of Things Journal 8 (8), 6904-6915, 2020
91 2020 Seed-free graph de-anonymiztiation with adversarial learning K Li, G Lu, G Luo, Z Cai
Proceedings of the 29th ACM International Conference on Information …, 2020
44 2020 Incorporating social interaction into three-party game towards privacy protection in IoT K Li, L Tian, W Li, G Luo, Z Cai
Computer Networks 150, 90-101, 2019
31 2019 Efficient publication of distributed and overlapping graph data under differential privacy X Zheng, L Zhang, K Li, X Zeng
Tsinghua Science and Technology 27 (2), 235-243, 2021
20 2021 Achieving differential privacy of genomic data releasing via belief propagation Z He, Y Li, J Li, K Li, Q Cai, Y Liang
Tsinghua Science and Technology 23 (4), 389-395, 2018
15 2018 Plausible Heterogeneous Graph K Li, L Tian, X Zheng, B Hui
Tsinghua Science and Technology 27 (6), 912-924, 2022
5 2022 Event predictability: A uniform form for IoT-based nondeterministic social systems J Duan, L Tian, K Li
IEEE Internet of Things Journal 10 (14), 12496-12507, 2023
2 2023 Neural-based inexact graph de-anonymization G Lu, K Li, X Wang, Z Liu, Z Cai, W Li
High-Confidence Computing 4 (1), 100186, 2024
1 2024 Behavior of social network users to privacy leakage: an agent-based approach K Li, G Luo, H Wu, C Wang
Advanced Multimedia and Ubiquitous Engineering: MUE/FutureTech 2018 12, 91-100, 2019
1 2019