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Face_iso

  1. Download dataset to XX and modify "./isot/config/env.yml": data_dir: XX/data/ result_dir: XX/result/
  2. Train model: python train.py --dataset lfw_gender --save --lr_scheduler --epoch 50 --lr 0.001 --momentum 0.9 --weight_decay 0.0005 --batch_size 16 --model alexnet
  3. Auditing: python audit_iso.py --dataset lfw_gender --attack iso_boundary_simplified --epoch 10 --lr 0.001 --save --verbose --model alexnet --batch_size 16 --pretrain

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