
#Attacking only feat_vis
CUDA_VISIBLE_DEVICES=0 python3 scripts/do_optimization_by_channel_circuit.py --nsteps 2 --batch_size 128 --save-interval 1001 --arch resnet50 --imagenet /home/shared_data/imagenet --output resnet50/circuit_results/layer11.0.bn2_unit_beta_0 --layer layer4_2_bn2 --channel a --alpha 0.1 --beta 0 --optim-all --vis-obj channel --maintain-obj softmax --do-final-image-search --attack-name ref_to_tops_art --attack-type ref_to_tops_art --ref_target_path target.JPEG --learning-rate 1e-4 --attack-obj channel --do-full-validation --save-image --feat-vis-only
#Computing KT and CLIP metrics
CUDA_VISIBLE_DEVICES=1 python3 scripts/results_generator.py --results-directory alexnet/circuit_results/features_10_unit_beta_0 --do-kt --do-clip --do-pdfs

#Circuit attacks

