Quantifying observable privacy in differentially private generative models under black-box access

Key Points

• The outcome reveals a method to quantify observable privacy in these models, enhancing data utility.
• Key evidence shows that differential privacy mechanisms significantly influence privacy levels.
• Approach involves assessing various generative models under black-box access to evaluate privacy risks.
• Significance suggests a need for better privacy management in AI systems using generative models.