方班隐私保护小组

摘要： > "Wang, Haotao, et al. "Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork." Advances in Neural Informa 阅读全文

摘要： > "Wu, Dongxian, and Yisen Wang. "Adversarial neuron pruning purifies backdoored deep models." Advances in Neural Information Processing Systems 34 (2 阅读全文

摘要： "Jia X, Zhang Y, Wu B, et al. LAS-AT: adversarial training with learnable attack strategy[C]//Proceedings of the IEEE/CVF Conference on Computer Visio 阅读全文

摘要： "Jeon J, Lee K, Oh S, et al. Gradient inversion with generative image prior[J]. Advances in neural information processing systems, 2021, 34: 29898-299 阅读全文

摘要： "Geiping J, Bauermeister H, Dröge H, et al. Inverting gradients-how easy is it to break privacy in federated learning?[J]. Advances in Neural Informat 阅读全文

摘要： "Zhao B, Mopuri K R, Bilen H. idlg: Improved deep leakage from gradients[J]. arXiv preprint arXiv:2001.02610, 2020." 本文发现共享梯度肯定会泄露数据真实标签。我们提出了一种简单但可靠的 阅读全文

摘要： "Zhu, Ligeng, Zhijian Liu, and Song Han. "Deep leakage from gradients." Advances in neural information processing systems 32 (2019)." 本文从公开共享的梯度中获得私有训 阅读全文

摘要： Xin, S. , et al. "Feature evaluation and selection with cooperative game theory." Pattern Recognition 45.8(2012):2992-3002. 基于合作博弈寻找最优特征子集，重点解决传统基于信息论 阅读全文

摘要： Bao, Xianglin , et al. "FLChain: A Blockchain for Auditable Federated Learning with Trust and Incentive." 2019 5th International Conference on Big Dat 阅读全文

摘要： Panda R, Chen C F R, Fan Q, et al. Adamml: Adaptive multi-modal learning for efficient video recognition[C]//Proceedings of the IEEE/CVF International 阅读全文