More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

Understand

Artificial Intelligence (AI) has attracted a great deal of attention in recent years.

• However, alongside all its advancements, problems have also emerged, such as privacy violations, security issues and model fairness.
• Differential privacy, as a promising mathematical model, has several attractive properties that can help solve these problems, making it quite a valuable tool.
• For this reason, differential privacy has been broadly applied in AI but to date, no study has documented which differential privacy mechanisms can or have been leveraged to overcome its issues or the properties that make this possible.