Comments (1)
Hi, there are no plans to support TFLite directly. However, I believe the most common use case for TFLite is to start with a normal TF model, convert it to a TFLite model and then use it on a mobile device. Thus, in most cases, one in addition to the TFLite model also has access to the normal TF model and, hence, can attack this model with foolbox.
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Related Issues (20)
- Changing CUDA device at runtime HOT 1
- Logit optimization
- about PGD attack HOT 2
- specifying criterion fails with TypeError HOT 2
- "nll_loss_forward_no_reduce_cuda_kernel_index" not implemented for 'Float' HOT 3
- Deprecation warning using old scipy namespace for gaussian_filter
- how to define the bounds HOT 2
- About the pgd attacks HOT 1
- how to use GaussianBlurAttack HOT 1
- FGSM TargetedMisclassfication HOT 1
- Use foolbox for multi-label classification HOT 1
- Local datasets supported?
- Is there a criterion for query budget? HOT 1
- It seems like the 'success' value in the return of the 'attack' function is overconfident. HOT 2
- About Carlini-Wagner Attack
- Are the wrong classified images sorted out? HOT 1
- It seems your CI/CD has a bug. HOT 1
- How to load datasets that are not among the sample?
- criteria: Misclassification
- Using Foolbox with custom dataset
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