Limitations of differential privacy and strategies to overcome them
Differential privacy has gained significant attention and adoption in both academia and industry due to its ability to balance privacy and utility. However, like any other technique, differential privacy has its limitations and challenges that need to be addressed to ensure its effective implementation. Following are some of the major limitations of differential privacy and potential strategies to overcome them:
- Noise and utility trade-off: Differential privacy achieves privacy by adding noise to query responses, which introduces a trade-off between privacy and utility. The amount of noise added determines the level of privacy, but excessive noise can significantly reduce the utility of the released data. Striking the right balance between privacy and utility is a challenge.
- Strategy to overcome: One approach to mitigating this limitation is to design better algorithms that minimize the impact of noise on utility...
