Given a joint distribution $P_{XY}$ of random variables $X,Y$ on finite alphabets, the information
bottleneck method seeks a representation $T$ of $X$ that is as informative as possible about $Y$ while compressing $X$; the privacy funnel asks for a representation that discloses much about $X$ while leaking little about $Y$. ... more >>>