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View Code? Open in Web Editor NEWLinear and interval bound propagation in Pytorch with easy-to-use API and GPU support.
License: GNU General Public License v3.0
Linear and interval bound propagation in Pytorch with easy-to-use API and GPU support.
License: GNU General Public License v3.0
For some functions, a convex solver may be of use to compute tangents more efficient / accurately, for the relaxation procedure. Using a strategy pattern, we can dynamically switch between methods.
Both linear and interval bounds should support + and - natively.
Use dual norm to concretize set. Add "bounding hyperrectangle" method to allow IBP.
Hi,
Thanks a lot for this very useful repository. Cleaning up IBP interface is much needed. I am just wondering if your code supports conv nets.
Thanks!
Concretization (conversion from linear to interval bounds) depends on region shape, hence this belongs on the region object.
In particular, polytopes which afford LP for concretization. In general, use convex solver for concretization. Needs gradients to be propagated through. Also, we need a method of computing a bounding hyperrectangle to allow IBP.
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