This paper highlights a survey of machine learning tools, techniques, and applications and systematically analyzes security attacks over the past few years.Kuntla, Gayatri SravanthiXin TianZhigang LiIssues in Information Systems
DP是一种强大的隐私保证技术,最初用于简单统计,但后来研究界将DP引入机器学习环境,以保护数据集免于被泄露。DP通过向数据集注入额外的统计噪声来工作,无论是输入、输出、真实标签、目标函数还是梯度。此外,噪声的添加可以在本地(客户端)或全局(服务器端)完成。基于此,DP分为全局差分隐私(GDP)和本地差分隐私(LDP)...
The newly emerged machine learning (e.g. deep learning) methods have become a strong driving force to revolutionize a wide range of industries, such as smart healthcare, financial technology, and surveillance systems. Meanwhile, privacy has emerged as a big concern in this machine learning-based...
When ML Meets Privacy: A Survey and Outlook When Machine Learning Meets Privacy: A Survey and Outlook. 2020 摘要: 新出现的机器学习(如深度学习)方法已经成为一股强大的推动力,推动了智能医疗保健、金融技术和监控系统等广泛行业的变革。与此同时,在这个基于机器学习的人工智能时代,隐私已成为一个大问题。值...
Machine learning has become prevalent in transforming diverse aspects of our daily lives through intelligent digital solutions. Advanced disease diagnosis, autonomous vehicular systems, and automated threat detection and triage are some prominent use cas
Differential Privacy: A Survey of Results 来自 Semantic Scholar 喜欢 1 阅读量: 3887 作者: C Dwork 摘要: Over the past five years a new approach to privacy-preserving data analysis has born fruit [13, 18, 7, 19, 5, 37, 35, 8, 32]. This approach differs from much (but not all...
FHE is a valuable capability in a world of distributed computation and heterogeneous networking. In this survey, we present a comprehensive review of theoretical concepts, state-of-the-art, limitations, potential applications, and development tools in the domain of FHE. Moreover, we show the ...
Machine learning is the process of programming computers to optimize a performance criterion using example data or prior experience. Because of its powerful ability to process large amounts of data, machine learning has been applied in various fields in recent years, including speaker recognition [1...
Article 23 December 2024 Research Progress on Security and Privacy of Federated Learning: A Survey Article 25 June 2024 Exploring privacy measurement in federated learning Article 27 December 2023 Explore related subjects Discover the latest articles, news and stories from top researchers in relate...
结束那篇巨长的综述后,又开了篇综述坑(悲),但是这次标题顾名思义,是联邦学习安全和隐私方面的综述文章, A Survey on Security and Privacy of Federated Learning,于2020年发表于Future Generation Computer …