Venue: AAAI 2022 Workshop AdvML

Reviews:

final_score: rating: 7: Good paper, accept
review_content: 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?
review_title: A novel method for diferentiating a bilevel programming solver

Meta-review: The reviewer agrees to accept this paper. Please address the reviewer's comment in the camera-ready version.
Decision: Accept (Long Paper)