Related Issues (18)
- The value of theta is different from the paper HOT 2
- HSJA is extremely slow when I use the params in this repo HOT 12
- The approximate_gradient function seems not follow the equations in paper HOT 10
- Is it possible and easy to enable batch processing? HOT 2
- How is input norm calculated? HOT 2
- Which stepsize_search performs better in terms of query and distortion? HOT 1
- Why the perturbed image is not clip with min=0 and max=1 after binary search step? Bug? HOT 1
- Question about L_infinity norm attack of HSJA. HOT 1
- What does baseline substraction mean in the gradient estimation?
- this is a problem to run this code ,but i don't how to solve , please query a help,"construct_original_network grads = tape.gradient(preds[:,c], x) File "C:\Users\高婷\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\eager\backprop.py", line 1086, in gradient unconnected_gradients=unconnected_gradients) File "C:\Users\高婷\AppData\Roaming\Python\Python37\site-packages\tensorflow\python\eager\imperative_grad.py", line 77, in imperative_grad compat.as_str(unconnected_gradients.value)) AttributeError: 'KerasTensor' object has no attribute '_id'"
- a problem about convergence
- MNIST model for attack
- Which true gradient does HSJA estimated for? (in function "approximate_gradient")
- Hi,I want to know which represents the number of queries in hsja.py? HOT 3
- Unnecessary binary search?
- Why this line code exists? HELP plz HOT 1
- Question about delta HOT 1
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from hsja.