Any random distribution will be leaky when it is centered around the real location and multiple samples can be taken. Quantization to a desired lack of precisio

Any random distribution will be leaky when it is centered around the real location and multiple samples can be taken. Quantization to a desired lack of precision is the answer, nobody will be able to tell a point that happens to be rounded to itself from one that happens to be rounded from close to a neighboring cell. If for some reason the data needs to appear random, you have to store a fixed random offset/alternative per point so that there cannot be multiple observations. If for some reason the data needs to appear randomized between repeated lookups, you need to store a fixed offset/alternative per point and then apply an additional random offset per lookup. Repeated lookups will only leak the (badly) hidden permanently randomized stored alternative.