While Rényi divergence and Sibson mutual information offer valuable insights into information leakage in privacy-preserving systems, there are potential limitations and drawbacks compared to other information-theoretic privacy metrics.
One limitation is the complexity of interpreting and implementing these measures in real-world systems. Rényi divergence and Sibson mutual information may require a deep understanding of information theory concepts, making them challenging to apply for practitioners without specialized knowledge. Additionally, the computational complexity of calculating these measures for large datasets or complex systems could be a drawback in practical applications.
Furthermore, the choice of α parameter in the α-leakage measures may introduce subjectivity and uncertainty. Selecting the appropriate α value to quantify information leakage effectively can be a non-trivial task and may impact the accuracy of the results obtained.
Compared to other privacy metrics, such as differential privacy or mutual information, Rényi divergence and Sibson mutual information may offer different perspectives on information leakage but may not capture all aspects of privacy concerns comprehensively. It is essential to consider these limitations and drawbacks when choosing α-leakage measures for privacy analysis in practical systems.