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Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

机译：深度学习的综合隐私分析：反对集中和联邦学习的被动和有源白箱推论攻击

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Milad Nasr; Reza Shokri; Amir Houmansadr;
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年度 2019
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1. Federated Learning and Privacy:Building privacy-preserving systems for machine learning and data science on decentralized data [J] . allista Bonawitz, Peter Kairouz, Brendan McMahan, ACM Queue: Architecting Tomorrow s Computing . 2021,第5期

机译：联邦学习和隐私：在分散数据上构建机器学习和数据科学的隐私保存系统
2. Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? [J] . Zheng Huadi, Hu Haibo, Han Ziyang IEEE intelligent systems . 2020,第4期

机译：保留机器学习的用户隐私：当地差异隐私或联合机器学习？
3. Digestive neural networks: A novel defense strategy against inference attacks in federated learning [J] . Hongkyu Lee, Jeehyeong Kim, Seyoung Ahn, Computers & Security . 2021,第Octa期

机译：消化神经网络：联合学习推论攻击的新型防御策略
4. Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning [C] . Milad Nasr, Reza Shokri, Amir Houmansadr IEEE Symposium on Security and Privacy . 2019

机译：深度学习的全面隐私分析：针对集中式和联合学习的被动式和主动式白盒推理攻击
5. Comprehensive Designs of Innovate Secure Hardware Devices Against Machine Learning Attacks and Power Analysis Attacks [D] . ?Wen, Yiming 2020

机译：创新安全硬件设备对机器学习攻击和功率分析攻击的综合设计
6. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study [O] . Qi Dou, Tiffany Y. So, Meirui Jiang, 2021

机译：CT中COVID-19肺异常的联邦深度学习：一种隐私保留跨国验证研究
7. An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies [O] . David Enthoven, Zaid Al-Ars 2021

机译：联邦深度学习隐私攻击和防御战略概述

Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

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