This is a sound technical paper on the question of testing of distribution with privacy constraints, which shows how tests based on splitting techniques making use of a "flattening sample" (with limited l_2 norm of their corresponding distribution) can preserve privacy. The contribution is solid, timely (cf. privacy) and original.