Review for NeurIPS paper: Exactly Computing the Local Lipschitz Constant of ReLU Networks

Neural Information Processing Systems 

Weaknesses: 1. Except for section 3, other theoretical findings/results seem rather standard. For example, the reformulation techniques involved in section 5 have been widely used in mixed-integer programs and even for certifying the adversarial robustness, e.g., SMT solver, nothing new. Also, theorem 1 can be easily obtained via several simple inductions. ReLU network is subdifferential regular under the general position assumption? See Theorem 49 in [1] for details.