Beyond inferring class representatives: User-level privacy leakage from federated learning Z Wang, M Song, Z Zhang, Y Song, Q Wang, H Qi IEEE INFOCOM 2019-IEEE conference on computer communications, 2512-2520, 2019 | 883 | 2019 |
Analyzing user-level privacy attack against federated learning M Song, Z Wang, Z Zhang, Y Song, Q Wang, J Ren, H Qi IEEE Journal on Selected Areas in Communications 38 (10), 2430-2444, 2020 | 214 | 2020 |
A stable and energy-efficient routing algorithm based on learning automata theory for MANET S Hao, H Zhang, M Song Journal of Communications and Information Networks 3 (2), 43-57, 2018 | 54 | 2018 |
advpattern: Physical-world attacks on deep person re-identification via adversarially transformable patterns Z Wang, S Zheng, M Song, Q Wang, A Rahimpour, H Qi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 51 | 2019 |
Invisible Adversarial Attack against Deep Neural Networks: An Adaptive Penalization Approach Z Wang, M Song, S Zheng, Z Zhang, Y Song, Q Wang IEEE Transactions on Dependable and Secure Computing, 2019 | 37 | 2019 |
Poisoning-assisted property inference attack against federated learning Z Wang, Y Huang, M Song, L Wu, F Xue, K Ren IEEE Transactions on Dependable and Secure Computing 20 (4), 3328-3340, 2022 | 34 | 2022 |
Toward invisible adversarial examples against DNN-based privacy leakage for Internet of Things X Ding, S Zhang, M Song, X Ding, F Li IEEE Internet of Things Journal 8 (2), 802-812, 2020 | 15 | 2020 |
Towards compression-resistant privacy-preserving photo sharing on social networks Z Wang, H Guo, Z Zhang, M Song, S Zheng, Q Wang, B Niu Proceedings of the Twenty-First International Symposium on Theory …, 2020 | 13 | 2020 |