ares
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A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Can we apply the benchmark to our own model?
I see the overview says that ARES supports TensorFlow & PyTorch models with the same interface. but there is no direct function or interface for a trained Pytorch model to...
I am trying to run the WideResNet_Trades model to run the benchmark using the benchmark.iteration_cli interface. However I am getting an error shown below. ``` Using TensorFlow backend. WARNING:tensorflow:From /home/itachi/repos/ares/ares/benchmark/iteration_cli.py:100:...
Bumps [scipy](https://github.com/scipy/scipy) from 1.9.1 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...
Bumps [torch](https://github.com/pytorch/pytorch) from 1.4.0 to 1.13.1. Release notes Sourced from torch's releases. PyTorch 1.13.1 Release, small bug fix release This release is meant to fix the following issues (regressions /...
Bumps [scipy](https://github.com/scipy/scipy) from 1.5.4 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...