Incentivizing differentially private federated learning: A multidimensional contract approach M Wu, D Ye, J Ding, Y Guo, R Yu, M Pan IEEE Internet of Things Journal 8 (13), 10639-10651, 2021 | 92 | 2021 |
Differentially private and fair classification via calibrated functional mechanism J Ding, X Zhang, X Li, J Wang, R Yu, M Pan Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 622-629, 2020 | 54 | 2020 |
Deep -Network-Based Route Scheduling for TNC Vehicles With Passengers’ Location Differential Privacy D Shi, J Ding, SM Errapotu, H Yue, W Xu, X Zhou, M Pan IEEE Internet of Things Journal 6 (5), 7681-7692, 2019 | 54 | 2019 |
IoT device friendly and communication-efficient federated learning via joint model pruning and quantization P Prakash, J Ding, R Chen, X Qin, M Shu, Q Cui, Y Guo, M Pan IEEE Internet of Things Journal 9 (15), 13638-13650, 2022 | 44 | 2022 |
Adaptive privacy preserving deep learning algorithms for medical data X Zhang, J Ding, M Wu, STC Wong, H Van Nguyen, M Pan Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 33 | 2021 |
Evaluation of inference attack models for deep learning on medical data M Wu, X Zhang, J Ding, H Nguyen, R Yu, M Pan, ST Wong arXiv preprint arXiv:2011.00177, 2020 | 28 | 2020 |
Optimal differentially private ADMM for distributed machine learning J Ding, X Qin, W Xu, Y Gong, C Zhang, M Pan arXiv preprint arXiv:1901.02094, 2019 | 28 | 2019 |
Stochastic ADMM based distributed machine learning with differential privacy J Ding, SM Errapotu, H Zhang, Y Gong, M Pan, Z Han Security and Privacy in Communication Networks: 15th EAI International …, 2019 | 28 | 2019 |
Differentially private robust ADMM for distributed machine learning J Ding, X Zhang, M Chen, K Xue, C Zhang, M Pan 2019 ieee international conference on big data (big data), 1302-1311, 2019 | 24 | 2019 |
Differentially private and communication efficient collaborative learning J Ding, G Liang, J Bi, M Pan Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7219-7227, 2021 | 23 | 2021 |
3D geo-indistinguishability for indoor location-based services M Min, L Xiao, J Ding, H Zhang, S Li, M Pan, Z Han IEEE Transactions on Wireless Communications 21 (7), 4682-4694, 2021 | 21 | 2021 |
Towards plausible differentially private ADMM based distributed machine learning J Ding, J Wang, G Liang, J Bi, M Pan Proceedings of the 29th ACM International Conference on Information …, 2020 | 15 | 2020 |
Deep q-network based route scheduling for transportation network company vehicles D Shi, J Ding, SM Errapotu, H Yue, W Xu, X Zhou, M Pan 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 15 | 2018 |
Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm D Wang, J Ding, L Hu, Z Xie, M Pan, J Xu ECAI 2023, 2023 | 13* | 2023 |
Private empirical risk minimization with analytic gaussian mechanism for healthcare system J Ding, SM Errapotu, Y Guo, H Zhang, D Yuan, M Pan IEEE Transactions on big data 8 (4), 1107-1117, 2020 | 13 | 2020 |
Differentially private functional mechanism for generative adversarial networks X Zhang, J Ding, SM Errapotu, X Huang, P Li, M Pan 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 12 | 2019 |
Privacy preserving facial recognition against model inversion attacks P Prakash, J Ding, H Li, SM Errapotu, Q Pei, M Pan GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 11 | 2020 |
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications T Liu, J Ding, T Wang, M Pan, M Chen Journal of Circuits, Systems and Computers, 2022 | 10 | 2022 |
Big data privacy preservation for cyber-physical systems M Pan, J Wang, SM Errapotu, X Zhang, J Ding, Z Han Springer International Publishing, 2019 | 8 | 2019 |
Mobile crowdsensing task allocation optimization with differentially private location privacy X Zhang, J Ding, X Li, T Yang, J Wang, M Pan ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 7 | 2020 |