Research on Deep Learning Based on Decentralized Differential Privacy Protection
Abstract
References
Index Terms
- Research on Deep Learning Based on Decentralized Differential Privacy Protection
Recommendations
Differential privacy in deep learning: A literature survey
AbstractThe widespread adoption of deep learning is facilitated in part by the availability of large-scale data for training desirable models. However, these data may involve sensitive personal information, which raises privacy concerns for data ...
Privacy Protection: p-Sensitive k-Anonymity Property
ICDEW '06: Proceedings of the 22nd International Conference on Data Engineering WorkshopsIn this paper, we introduce a new privacy protection property called p-sensitive k-anonymity. The existing kanonymity property protects against identity disclosure, but it fails to protect against attribute disclosure. The new introduced privacy model ...
Learning with differential privacy: stability, learnability and the sufficiency and necessity of ERM principle
While machine learning has proven to be a powerful data-driven solution to many real-life problems, its use in sensitive domains has been limited due to privacy concerns. A popular approach known as differential privacy offers provable privacy guarantees,...
Comments
Information & Contributors
Information
Published In

Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 13Total Downloads
- Downloads (Last 12 months)13
- Downloads (Last 6 weeks)1
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format