方班隱私保護小組

摘要： Nagalapatti, Lokesh , and R. Narayanam . "Game of Gradients: Mitigating Irrelevant Clients in Federated Learning." (2021). 針對聯邦學習中相關客戶端選擇（FRCS）的問題，本文提 閱讀全文

摘要： Zafari, Faheem , et al. "A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds." (2018). 為了緩解移動邊緣計算中資源稀缺問 閱讀全文

摘要： Peng Wu, Fengen Li, Jie Zhao, et al. Consensus Reaching Process With Multiobjective Optimization for Large-Scale Group Decision Making With Cooperativ 閱讀全文

摘要： Walmer M, Sikka K, Sur I, et al. Dual-Key Multimodal Backdoors for Visual Question Answering[C]//Proceedings of the IEEE/CVF Conference on Computer Vi 閱讀全文

摘要： Zhang, Ning , Q. Ma , and X. Chen . "Enabling Long-Term Cooperation in Cross-Silo Federated Learning: A Repeated Game Perspective." (2022). 針對重復執行跨筒倉聯 閱讀全文

摘要： Nan W., et al. “The Value of Collaboration in Convex Machine Learning with Differential Privacy.” 2020 IEEE Symposium on Security and Privacy. 304-317 閱讀全文

摘要： > "Zhang, Zhuosheng, et al. "SAFELearning: Secure Aggregation in Federated Learning with Backdoor Detectability." IEEE Transactions on Information For 閱讀全文

摘要： > "Li, Haoyang, et al. "3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning." 2023 IEEE Symposium on Security an 閱讀全文

摘要： > "Gu, Tianyu, et al. "Badnets: Evaluating backdooring attacks on deep neural networks." IEEE Access 7 (2019): 47230-47244." 本文提出了外包機器學習時選擇值得信賴的提供商的重要 閱讀全文

摘要： > "Liu, Kang, Brendan Dolan-Gavitt, and Siddharth Garg. "Fine-pruning: Defending against backdooring attacks on deep neural networks." Research in Att 閱讀全文