| PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility X Gu, M Li, Y Cheng, L Xiong, Y Cao USENIX Security Symposium, 2020 | 75 | 2020 |
| Providing input-discriminative protection for local differential privacy X Gu, M Li, L Xiong, Y Cao 2020 IEEE 36th International Conference on Data Engineering (ICDE), 505-516, 2020 | 69 | 2020 |
| Supporting both range queries and frequency estimation with local differential privacy X Gu, M Li, Y Cao, L Xiong IEEE Conference on Communications and Network Security (CNS), 124-132, 2019 | 46 | 2019 |
| Adaptive notch filter design under multiple identical bandwidths Q Wang, X Gu, J Lin AEU-International Journal of Electronics and Communications 82, 202-210, 2017 | 22 | 2017 |
| Precad: Privacy-preserving and robust federated learning via crypto-aided differential privacy X Gu, M Li, L Xiong arXiv preprint arXiv:2110.11578, 2021 | 12 | 2021 |
| Received signal strength indication‐based localisation method with unknown path‐loss exponent for HVDC electric field measurement X Gu, Y Cui, Q Wang, H Yuan, L Zhao, G Wu High voltage 2 (4), 261-266, 2017 | 6 | 2017 |
| Digital Multiple Notch Filter Design with Nelder-Mead Simplex Method Q Wang, X Gu, Y Liu, H Yuan IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and …, 2017 | 4 | 2017 |
| DP-BREM: differentially-private and byzantine-robust federated learning with client momentum X Gu, M Li, L Xiong arXiv preprint arXiv:2306.12608, 2023 | 2 | 2023 |
| Two Birds, One Stone: Achieving both Differential Privacy and Certified Robustness for Pre-trained Classifiers via Input Perturbation P Tang, W Wang, X Gu, J Lou, L Xiong, M Li | 2 | 2021 |
| Sparse canonical correlation analysis algorithm with alternating direction method of multipliers X Gu, Q Wang Communications in Statistics-Simulation and Computation 49 (9), 2372-2388, 2019 | 1 | 2019 |
