Differential privacy
Differential Privacy for Secure Machine Learning in 2024
Training datasets of machine learning models frequently contain sensitive data from individuals. This raises concerns over data privacy because it is possible in some cases for attackers to obtain information about training data through model outcomes.
Dec 223 min read
Differential Privacy: How It Works, Benefits & Use Cases in 2024
Violating data privacy is costly for organizations due to factors such as diminished reputation or regulatory fines. IBM’s 2022 Cost of a Data Breach report states that the average total cost of a data breach is nearly $4.5 million. However, access to private information is required in building solutions to many important business problems.
Jan 126 min read