An Overview of Privacy in Machine Learning 来自 arXiv.org 喜欢 0 阅读量: 95 作者: E De Cristofaro 摘要: Over the past few years, providers such as Google, Microsoft, and Amazon have started to provide customers with access to software interfaces allowing them to easily embed machine learning...
including sensitive user information. However, new regulations like GDPR require data removal by businesses. Deleting data from ML models is more complex than databases. Machine Un-learning (MUL), an emerging field, garners academic interest for selectively erasing...
M. Mitchell, "An overview of machine learning," in Machine learning, ed: Springer, 1983, pp. 3-23.Carbonell, J. G., Michalski, R. S., Mitchell, T. M. An overview of machine learning. In: Michalski, R. S., Carbonell, J. G., Mitchell, T. M. eds. (1984) Machine Learning: ...
M. 1983. An Overview of Machine Learning. In Machine Learning: An Artificial Intelligence Approach, volume 1, eds. R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, 3-23. San Mateo, Calif.: Morgan Kaufmann.Carbonell, J., Michalski, R., Mitchell, T.: An overview of machine ...
Machine Learning Theory refers to the understanding of what is necessary for successful and efficient learning in the field of artificial intelligence. It involves developing models that can learn from experience and make predictions based on relationships between variables, often leading to breakthroughs ...
Trusted AI in Multiagent Systems: An Overview of Privacy and Security for Distributed Learning private data, there has been considerable recent interest in machine learning (ML) and artificial intelligence (AI) that can be processed on distributed ... C Ma,J Li,Kang WeiBo LiuMing DingLong Yuan...
Machine learning is a branch of artificial intelligence (AI) that allows systems to automatically learn from their experiences and advance without explicit programming
✍️ [阅读笔记] An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies ??? 艺、Introduction ??? 尔、威胁模型??? Threat Model A. ??? 攻击面(Attack surface) B. ??? 客户端或者服务端的攻击(Client or server-side attacks) C. ??
National Agriculture Imagery Program (NAIP) orthophotography is a potentially useful data source for land cover classification in the United States due to its nationwide and generally cloud-free coverage, low cost to the public, frequent update interval, and high spatial resolution. Nevertheless, ther...
Constraint solving is applied in different application contexts. Examples thereof are the configuration of complex products and services, the determination