$$\text{Worst-case disclosure} = - \log_2 \left(\dfrac{\min g(k)}{M}\right) \newline \text{Average disclosure} = - \sum_{k} \dfrac{g(k)}{M} \log_2 \left( \dfrac{g(k)}{M} \right) \newline \text{Sparseness} = \dfrac{\ell_2}{\ell_1} = \dfrac{\sqrt{\sum_{k}{g^{2}(k)}}}{\sum_{k} \left|{g(k)}\right|} \newline \text{Standard Deviation} = \sqrt{\frac1M \sum_k \left(g(k) - \frac MK\right)^2 } \newline \text{KL Divergence} = \sum_{k} \hat{f}(k) \log_2\left(\dfrac{\hat{f}(k)}{f(k)}\right)$$