An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Joshua Allen, Bolin Ding, Janardhan Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
–Neural Information Processing Systems
Differential privacy has emerged as the main definition for private data analysis and machine learning. The global model of differential privacy, which assumes that users trust the data collector, provides strong privacy guarantees and introduces small errors in the output.
Neural Information Processing Systems
Jan-22-2025, 22:00:05 GMT
- Country:
- North America (0.46)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology:
- Information Technology
- Artificial Intelligence > Machine Learning (1.00)
- Data Science (1.00)
- Security & Privacy (1.00)
- Information Technology