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main_NIPS2017_UT_INF.sh
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main_NIPS2017_UT_INF.sh
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#!/bin/bash -l
set -x
#specify GPU
export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
export PYTHONPATH=$PYTHONPATH:$(pwd)
echo "------------------------------------------"
echo "Craft adversarial examples by all method"
echo "Experiment setting"
echo "Dataset: NIPS2017"
echo "Attack: untargeted inf"
echo "Surrogate(single): resnet50 vgg19_bn densenet121 inc-v3 vit"
echo "------------------------------------------"
ATTACK="python -u main_attack.py"
SOURCES=(resnet50 vgg19_bn densenet121 inception_v3 vit_b_16) #TODO: SOURCES=(resnet50 vgg19_bn densenet121 inception_v3 vit_b_16)
TARGET_PATH="NIPS2017/pretrained/resnet50 NIPS2017/pretrained/vgg19_bn NIPS2017/pretrained/resnet152
NIPS2017/pretrained/inception_v3 NIPS2017/pretrained/densenet121 NIPS2017/pretrained/mobilenet_v2
NIPS2017/pretrained/senet154 NIPS2017/pretrained/resnext101 NIPS2017/pretrained/wrn101
NIPS2017/pretrained/pnasnet NIPS2017/pretrained/mnasnet NIPS2017/pretrained/vit_b_16
NIPS2017/pretrained/swin_b NIPS2017/pretrained/convnext_b NIPS2017/pretrained/adv_resnet50
NIPS2017/pretrained/adv_swin_b NIPS2017/pretrained/adv_convnext_b"
ARGS_COMMON="--epsilon 0.03 --norm-step 0.00392157 --seed 0"
PATH_CSV="./csv_files/NIPS2017_UT_INF.csv"
PATH_ADV_BASE="./adv_imgs/NIPS2017/untargeted/l_inf"
PATH_JSON_BASE="./json_files/NIPS2017/untargeted/l_inf"
for SOURCE in "${SOURCES[@]}" ; do
SOURCE_PATH="NIPS2017/pretrained/$SOURCE"
if [ $SOURCE = 'resnet50' ]; then
BATCH_SIZE=300
elif [ $SOURCE = 'densenet121' ]; then
BATCH_SIZE=300
elif [ $SOURCE = 'inception_v3' ]; then
BATCH_SIZE=300
elif [ $SOURCE = 'vgg19_bn' ]; then
BATCH_SIZE=300
elif [ $SOURCE = 'vit_b_16' ]; then
BATCH_SIZE=300
fi
# echo "------ I-FGSM ------"
# METHOD="I-FGSM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ random_start ------"
# METHOD="random_start"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ MI-FGSM ------"
# METHOD="MI-FGSM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ NI ------"
# METHOD="NI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ PI ------"
# METHOD="PI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ VT ------"
# METHOD="VT"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ RAP ------"
# METHOD="RAP"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 400 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ DI2-FGSM ------"
# METHOD="DI2-FGSM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ SI ------"
# METHOD="SI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 300 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ admix ------"
# METHOD="admix"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 300 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ TI ------"
# METHOD="TI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ MI-DI ------"
# METHOD="MI-DI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ MI-DI-TI ------"
# METHOD="MI-DI-TI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ MI-DI-TI-SI ------"
# METHOD="MI-DI-TI-SI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ VMI ------"
# METHOD="VMI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ VNI ------"
# METHOD="VNI"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# # echo "------ admix-RAP ------"
# # METHOD="admix-RAP"
# # $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 400 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# # --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV
#
# echo "------ SI-RAP ------"
# METHOD="SI-RAP"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 400 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
if [ $SOURCE = 'resnet50' ]; then
echo "------ RD ------"
# METHOD="RD"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/RD/resnet50/0.005" --source-model-refinement "sample_from_isotropic(std=0.005, n_models=10)"
# echo "------ GhostNet ------"
# METHOD="GhostNet"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ LinBP ------"
# METHOD="LinBP"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 300 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "linbp(linbp_layer='3_1')" --batch-size 100
#
# echo "------ SGM ------"
# METHOD="SGM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --grad-calculation "skip_gradient(gamma=0.2)" --batch-size ${BATCH_SIZE}
#
# echo "------ ILA ------"
# METHOD_BSL="ILA_BSL"
# BSL_ADV="${PATH_ADV_BASE}/$SOURCE/bsl_adv"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD_BSL}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD_BSL}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size ${BATCH_SIZE}
# METHOD="ILA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size 100 --loss-function "ila_loss(ila_layer='2')"
#
# echo "------ FIA ------"
# METHOD="FIA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "fia_loss(fia_layer='2')" --batch-size 100
#
# echo "------ NAA ------"
# METHOD="NAA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "naa_loss(naa_layer='2')" --batch-size 100
#
# echo "------ DRA ------"
# METHOD="DRA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path "NIPS2017/DRA/DRA_resnet50.pth" --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --batch-size ${BATCH_SIZE}
#
# echo "------ IAA ------"
# METHOD="IAA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path "NIPS2017/IAA/resnet50" --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --batch-size ${BATCH_SIZE}
#
# echo "------ LGV ------"
# METHOD="LGV"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
# $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --source-model-refinement "stochastic_weight_collecting(collect=False)"
#
# echo "------ SWA ------"
# METHOD="SWA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/SWA/$SOURCE/swa_model" --source-model-refinement "stochastic_weight_averaging(collect=False)"
#
# echo "------ Bayesian_attack ------"
# METHOD="Bayesian_attack"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/Bayesian_Attack/$SOURCE/swag_samples" \
# --source-model-refinement "sample_from_swag(collect=False, beta=0, scale=1.5, n_models=50)"
#
# echo "------ LGV-GhostNet ------"
# METHOD="LGV-GhostNet"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
# $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --source-model-refinement "stochastic_weight_collecting(collect=False)"
elif [ $SOURCE = 'vgg19_bn' ]; then
# echo "------ RD ------"
# METHOD="RD"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/RD/vgg19_bn/0.01" --source-model-refinement "sample_from_isotropic(std=0.01, n_models=10)"
#
# echo "------ GhostNet ------"
# METHOD="GhostNet"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ LinBP ------"
# METHOD="LinBP"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "linbp(linbp_layer=36)" --batch-size 100
#
# echo "------ ILA ------"
# METHOD_BSL="ILA_BSL"
# BSL_ADV="${PATH_ADV_BASE}/$SOURCE/bsl_adv"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD_BSL}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD_BSL}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size ${BATCH_SIZE}
# METHOD="ILA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size 50 --loss-function "ila_loss(ila_layer='9_0')"
#
# echo "------ FIA ------"
# METHOD="FIA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "fia_loss(fia_layer='9_0')" --batch-size 50
#
# echo "------ NAA ------"
# METHOD="NAA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "naa_loss(naa_layer='9_0')" --batch-size 50
#
# echo "------ DRA ------"
# METHOD="DRA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path "NIPS2017/DRA/DRA_vgg19_bn.pth" --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --batch-size ${BATCH_SIZE}
echo "------ LGV ------"
METHOD="LGV"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
echo "------ SWA ------"
METHOD="SWA"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/SWA/$SOURCE/swa_model" --source-model-refinement "stochastic_weight_averaging(collect=False)"
echo "------ Bayesian_attack ------"
METHOD="Bayesian_attack"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/Bayesian_Attack/$SOURCE/swag_samples" \
--source-model-refinement "sample_from_swag(collect=False, beta=0, scale=1.5, n_models=50)"
echo "------ LGV-GhostNet ------"
METHOD="LGV-GhostNet"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
elif [ $SOURCE = 'inception_v3' ]; then
# echo "------ RD ------"
# METHOD="RD"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/RD/inception_v3/0.01" --source-model-refinement "sample_from_isotropic(std=0.01, n_models=10)"
#
# echo "------ GhostNet ------"
# METHOD="GhostNet"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ ILA ------"
# METHOD_BSL="ILA_BSL"
# BSL_ADV="${PATH_ADV_BASE}/$SOURCE/bsl_adv"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD_BSL}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD_BSL}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size ${BATCH_SIZE}
# METHOD="ILA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size 50 --loss-function "ila_loss(ila_layer='9')"
#
# echo "------ FIA ------"
# METHOD="FIA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "fia_loss(fia_layer='9')" --batch-size 100
#
# echo "------ NAA ------"
# METHOD="NAA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "naa_loss(naa_layer='9')" --batch-size 100
echo "------ LGV ------"
METHOD="LGV"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
echo "------ SWA ------"
METHOD="SWA"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/SWA/$SOURCE/swa_model" --source-model-refinement "stochastic_weight_averaging(collect=False)"
echo "------ Bayesian_attack ------"
METHOD="Bayesian_attack"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/Bayesian_Attack/$SOURCE/swag_samples" \
--source-model-refinement "sample_from_swag(collect=False, beta=0, scale=1.5, n_models=50)"
echo "------ LGV-GhostNet ------"
METHOD="LGV-GhostNet"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
elif [ $SOURCE = 'densenet121' ]; then
# echo "------ RD ------"
# METHOD="RD"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/RD/densenet121/0.01" --source-model-refinement "sample_from_isotropic(std=0.01, n_models=10)"
#
# echo "------ GhostNet ------"
# METHOD="GhostNet"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ SGM ------"
# METHOD="SGM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --grad-calculation "skip_gradient(gamma=0.5)" --batch-size ${BATCH_SIZE}
#
# echo "------ ILA ------"
# METHOD_BSL="ILA_BSL"
# BSL_ADV="${PATH_ADV_BASE}/$SOURCE/bsl_adv"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD_BSL}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD_BSL}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size ${BATCH_SIZE}
# METHOD="ILA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size 50 --loss-function "ila_loss(ila_layer='5')"
#
# echo "------ FIA ------"
# METHOD="FIA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "fia_loss(fia_layer='5')" --batch-size 100
#
# echo "------ NAA ------"
# METHOD="NAA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "naa_loss(naa_layer='5')" --batch-size 100
#
# echo "------ DRA ------"
# METHOD="DRA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path "NIPS2017/DRA/DRA_densenet121.pth" --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --batch-size ${BATCH_SIZE}
echo "------ LGV ------"
METHOD="LGV"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
echo "------ SWA ------"
METHOD="SWA"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/SWA/$SOURCE/swa_model" --source-model-refinement "stochastic_weight_averaging(collect=False)"
echo "------ Bayesian_attack ------"
METHOD="Bayesian_attack"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/Bayesian_Attack/$SOURCE/swag_samples" \
--source-model-refinement "sample_from_swag(collect=False, beta=0, scale=1.5, n_models=50)"
echo "------ LGV-GhostNet ------"
METHOD="LGV-GhostNet"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
elif [ $SOURCE = 'vit_b_16' ]; then
# echo "------ RD ------"
# METHOD="RD"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
# --rfmodel-dir "NIPS2017/RD/vit_b_16/0.005" --source-model-refinement "sample_from_isotropic(std=0.005, n_models=10)"
#
# echo "------ GhostNet ------"
# METHOD="GhostNet"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE}
#
# echo "------ SGM ------"
# METHOD="SGM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --grad-calculation "skip_gradient(gamma=)" --batch-size ${BATCH_SIZE}
#
# echo "------ ILA ------"
# METHOD_BSL="ILA_BSL"
# BSL_ADV="${PATH_ADV_BASE}/$SOURCE/bsl_adv"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD_BSL}.json" --n-iter 10 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD_BSL}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size ${BATCH_SIZE}
# METHOD="ILA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --bsl-adv-img-path $BSL_ADV --batch-size 50 --loss-function "ila_loss(ila_layer='3')"
#
# echo "------ FIA ------"
# METHOD="FIA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --loss-function "fia_loss(fia_layer='3')" --batch-size 100
#
# echo "------ NAA ------"
# METHOD="NAA"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
## --loss-function "naa_loss(naa_layer='3')" --batch-size 100
#
# echo "------ SGM ------"
# METHOD="SGM"
# $ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
# --source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV \
# --grad-calculation "skip_gradient(gamma=0.6)" --batch-size ${BATCH_SIZE}
echo "------ LGV ------"
METHOD="LGV"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
echo "------ SWA ------"
METHOD="SWA"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/SWA/$SOURCE/swa_model" --source-model-refinement "stochastic_weight_averaging(collect=False)"
echo "------ Bayesian_attack ------"
METHOD="Bayesian_attack"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH $ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--rfmodel-dir "NIPS2017/Bayesian_Attack/$SOURCE/swag_samples" \
--source-model-refinement "sample_from_swag(collect=False, beta=0, scale=1.5, n_models=50)"
echo "------ LGV-GhostNet ------"
METHOD="LGV-GhostNet"
$ATTACK --json-path "${PATH_JSON_BASE}/${METHOD}.json" --n-iter 100 --save-dir "${PATH_ADV_BASE}/$SOURCE/${METHOD}" \
--source-model-path $SOURCE_PATH --target-model-path $TARGET_PATH \
$ARGS_COMMON --csv-export-path $PATH_CSV --batch-size ${BATCH_SIZE} \
--source-model-refinement "stochastic_weight_collecting(collect=False)"
fi
done