【论文笔记】End-to-end privacy preserving deep learning on multi-institutional medical imaging 一个樱桃喔 4 人赞同了该文章 针对什么问题? 对数据驱动解决方案的日益增长的需求可能会增加与健康相关的数据收集,来自医疗成像数据集、临床记录和医院患者数据。因此,需要创新的解决方案来协调数据并保护隐私。 使用什么...
Privacy-PreservingDeepLearning CCS’15,October12–16,2015,Denver,Colorado,USA RezaShokriTheUniversityofTexasatAustinshokri@cs.utexas.edu VitalyShmatikovCornellTechshmat@cs.cornell.edu 报告人：许元馨 2015/12/31 动机 私人的数据共享在许多领域是不被法律或法规所允许的，尤其是那些与医学相关 的领域。因此，...
We also present a case study on privacy-preserving machine learning techniques. Herein, we theoretically and empirically evaluate the privacy-preserving deep learning framework's performance. We explain the implementation details of a case study of a secure prediction service using the convolutional ...
, Long-Tailed, Non-Stationary, Privacy-Preserving and EncryptedAlex Pentland 导读:首先感谢北京智源大会进行主题演讲的各领域顶级教授,博主受益匪浅,此文章为博主在聆听各领域教授或专家演讲时,一张一张截图进行保存,希望与大家一起学习,共同进步,一起见证或筑起人工智能的下一个十年。非常欢迎国内外人工智能领域网...
4 Our system:privacy-preserving deep learning without accuracy decline 我们的系统如图4所示,由一个公共云服务器和N个(e.g.=10x)学习参与者组成。 Learning Participants.参与者共同设置公钥pk和密钥sk,以实现加法同态加密方案。密钥sk对云服务器保密,但所有学习参与者都知道。每个参与者将建立一个彼此不同的TLS...
1、Privacy-Preserving Deep LearningCCS15,October 1216, 2015, Denver, Colorado, USA Reza Shokri Vitaly Shmatikov The University of Texas at Austin Cornell Tech 报告人:许元馨 2015/12/31动机私人的数据共享在许多领域是不被法律或法规所允许的,尤其是那些与医学相关的领域。因此,生物医学、临床研究人员只能...
With the emergence of COVID-19, smart healthcare, the Internet of Medical Things, and big data-driven medical applications have become even more important.
文章发表于CCS2015,原文链接 Privacy-Preserving Deep Learning创新点模型训练过程中选择性分享参数 DSSGD——分布式选择SGD回顾深度学习模型的训练过程,就是其模型参数的更新过程: w_j := w_j-\alpha\frac{\pa…
For privacy-preserving analysing of big data, a deep learning method is proposed. The method transforms the sensitive part of the personal information into non-sensitive data. To implement this process, two-stage architecture is proposed. The modified sparse denoising autoencoder and CNN models have...
8 Apr 2024·Fabian Perez,Jhon Lopez,Henry Arguello· In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, preserving privacy in deep learning systems has become a critical...