From: AAAI.org/2022/Workshop/AdvML/Program_Chairs
title: Paper Decision
decision: Accept (Long Paper)
comment: The reviewer agrees to accept this paper. Please address the reviewer's comment in the camera-ready version.

From: AAAI.org/2022/Workshop/AdvML/Paper22/Reviewer_hDgc
title: A novel method for diferentiating a bilevel programming solver
review: This paper proposed a novel method for calculating gradients of a bilevel programming solver. This problem has a wide range of applications like adversarial training, GAN, and combinatorial optimization problems. 

Pros
The method is novel and interesting and it can easily be embedded into a neural network as a layer. The author also implements it in several examples like linear and non-linear inequality constraints.

Cons
I think the author could provide more examples or applications about adversarial learning. For example, adversarial training (AT) is also a bilevel optimization problem. Can your method be used in AT?
rating: 7: Good paper, accept
confidence: 4: The reviewer is confident but not absolutely certain that the evaluation is correct