Machine Learning Security: Threats, Countermeasures, and Evaluations

Machine Learning Security: Threats, Countermeasures, and Evaluations

Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various complex problems, and shows capabilities close to humans or even beyond humans. However, recent studies show...

Full description

Bibliographic Details
Main Authors: Mingfu Xue, Chengxiang Yuan, Heyi Wu, Yushu Zhang, Weiqiang Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial intelligence security
poisoning attacks
backdoor attacks
adversarial examples
privacy-preserving machine learning
Online Access:https://ieeexplore.ieee.org/document/9064510/

Internet

https://ieeexplore.ieee.org/document/9064510/

Similar Items