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Attack on RandLA-Net

Install the dependencies

Install ares:

cd ares/
pip install -e .

Install RandLA-Net requreiments:

conda create -n randlanet python=3.5
source activate randlanet
pip install -r helper_requirements.txt
sh compile_op.sh
pip install open3d-python==0.3.0
conda install cudatoolkit=9.0
conda install cudnn
pip install tensorflow-gpu==1.15
pip install scikit-learn==0.22.1

S3DIS

S3DIS dataset can be found here. Download the files named "Stanford3dDataset_v1.2_Aligned_Version.zip". Uncompress the folder and move it to /data/S3DIS.

  • Preparing the dataset:
python utils/data_prepare_s3dis.py
  • Evaluation
python main_S3DIS.py --attack_type <attack_type> --attack_target <attack_target>

Great thanks for the RandLA-Net. The attack code is implemented based on the ares.