ResNet Base Submittable

Simsso / NIPS-2018-Adversarial-Vision-Challenge

Code, documents, and deployment configuration files, related to our participation in the 2018 NIPS Adversarial Vision Challenge "Robust Model Track"

MIT License

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Closed Simsso closed 5 years ago

Simsso commented 5 years ago

[x] Change the resnet-base model such that it can be easily submitted.
[x] Including usage of trained embedding weights of a VQ layer.
[ ] Submit a model without gradient skipping (copying the gradient from VQ-output to VQ-input) and see how Foolbox behaves if gradients cannot be computed (w.r.t. whitebox-attack).

FlorianPfisterer commented 5 years ago

Merging #73 resolves this issue.