Abstract In the past decade, differential privacy has seen remarkable success as a rigorous and practical formalization of data privacy. This definition its divergence based relaxations, however, have several acknowledged weaknesses, either in handling composition private algorithms or analysing important primitives like amplification by subsampling. Inspired hypothesis testing formulation priv...