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config.py
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exp_configuration={
401 :{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'DI-TI-MI': 'DTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'DI-TI-MI'
},
402 :{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'RDI-TI-MI': 'RTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'RDI-TI-MI'
},
403 :{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'Admix-RDI-TI-MI': 'IRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'Admix-RDI-TI-MI'
},
578:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'CFM-RDI Main Result'
},
579:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'ODI-TI-MI': 'OTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
# ODI params
'shininess':0.5,
'source_3d_models':['pack','pillow','book'],
'rand_elev':(-35,35),
'rand_azim':(-35,35),
'rand_angle':(-35,35),
'min_dist':0.8, 'rand_dist':0.4,
'light_location':[0.0, 0.0,4.0],
'rand_light_location':4,
'rand_ambient_color':0.3,
'ambient_color':0.6,
'rand_diffuse_color':0.5,
'diffuse_color':0.0,
'specular_color':0.0,
'background_type':'random_pixel',
'texture_type':'random_solid',
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'ODI Main Result'
},
580:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-ODI-TI-MI': 'COTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
# ODI params
'shininess':0.5,
'source_3d_models':['pack','pillow','book'],
'rand_elev':(-35,35),
'rand_azim':(-35,35),
'rand_angle':(-35,35),
'min_dist':0.8, 'rand_dist':0.4,
'light_location':[0.0, 0.0,4.0],
'rand_light_location':4,
'rand_ambient_color':0.3,
'ambient_color':0.6,
'rand_diffuse_color':0.5,
'diffuse_color':0.0,
'specular_color':0.0,
'background_type':'random_pixel',
'texture_type':'random_solid',
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'CFM-ODI Main Result'
},
583:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.5,
'mix_prob':0.05,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.05/0.5'
},
584:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.5,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.1/0.5'
},
585:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.5,
'mix_prob':0.15,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.15/0.5'
},
586:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.05,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.05/0.75'
},
587:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.15,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.15/0.75'
},
588:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':1.,
'mix_prob':0.05,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.05/1.'
},
589:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':1.,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.1/1.'
},
590:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':1.,
'mix_prob':0.15,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'0.15/1.'
},
591:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':False,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'V/N/V'
},
592:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'None', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'V/V/N'
},
593:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'A', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'N/V/V'
},
594:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'A', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':False,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'N/N/V'
},
598:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'], #'resnet18_l2_eps0_1','resnet18_l2_eps0_1',
'attack_methods': {'CFM-Admix-RDI-TI-MI': 'CIRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': Shuffle unconditionally, 'NonSelfShuffle': Shuffle to always set different index
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0.0, # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'start_layer_ratio':0.0,
'channelwise':True,
'mixup_layer':'conv_linear_include_last', # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
#####################################
'comment':''
},
603:{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
# Self-mix-up in feature domain
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'None', # 'None': Without shuffle, 'SelfShuffle': Shuffle unconditionally, 'NonSelfShuffle': Shuffle to always set different index
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'start_layer_ratio':0.0,
'channelwise':False,
'mixup_layer':'conv_linear_include_last', # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
#####################################
'comment':'V/N/N'
},
604 :{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'VT-RDI-TI-MI': 'VRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'None', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':False,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'VT-RDI-TI-MI'
},
605 :{
'dataset':'ImageNet',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50_l2_eps0_1','ResNet50','DenseNet121','inception_v3'],
'target_model_names':['ResNet18', 'ResNet50','vgg16','inception_v3','efficientnet_b0',
'DenseNet121', 'mobilenet_v2','inception_resnet_v2',
'inception_v4_timm','xception','resnet50_l2_eps0_1','vit_base_patch16_224','levit_384','convit_base','twins_svt_base','pit'],
'attack_methods': {'SI-RDI-TI-MI': 'SRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'None', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':False,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'SI-RDI-TI-MI'
},
# CIFAR-10
801:{
'dataset':'Cifar10',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50','vgg16_bn','densenet121','inception_v3'],
#
'target_model_names':['vgg16_bn', 'resnet18', 'resnet50','mobilenet_v2','inception_v3','densenet121',
'ens3_res20_baseline','ens3_res20_adp','ens3_res20_gal','ens3_res20_dverge'],
#
'attack_methods': {'DI-TI-MI': 'DTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'DI-TI-MI'
},
920:{
'dataset':'Cifar10',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50','vgg16_bn','densenet121','inception_v3'],
#
'target_model_names':['vgg16_bn', 'resnet18', 'resnet50','mobilenet_v2','inception_v3','densenet121',
'ens3_res20_baseline','ens3_res20_adp','ens3_res20_gal','ens3_res20_dverge'],
#
'attack_methods': {'RDI-TI-MI': 'RTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.1,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'RDI-TI-MI'
},
923:{
'dataset':'Cifar10',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50','vgg16_bn','densenet121','inception_v3'],
#
'target_model_names':['vgg16_bn', 'resnet18', 'resnet50','mobilenet_v2','inception_v3','densenet121',
'ens3_res20_baseline','ens3_res20_adp','ens3_res20_gal','ens3_res20_dverge'],
#
'attack_methods': {'CFM-RDI-TI-MI': 'CRTM'},
'number_of_v_samples':5,
'number_of_si_scales':5,
'visualize':False,
####################################
# Admix
'admix_portion':0.2, # 'Admix portion for the mixed image'
'num_mix_samples':3, # 'Number of randomly sampled images'
#####################################
'mixed_image_type_feature':'C', # 'C': Clean image / 'A': Current Batch image
'shuffle_image_feature':'SelfShuffle', # 'None': Without shuffle, 'SelfShuffle': With shuffle
'blending_mode_feature':'M', # 'M': Convex interpolation, 'A': Addition
'mix_lower_bound_feature':0., # mix ratio is sampled from [mix_lower_bound_feature, mix_upper_bound_feature]
'mix_upper_bound_feature':0.75,
'mix_prob':0.25,
'divisor':4,
'channelwise':True,
'mixup_layer':'conv_linear_include_last',
#####################################
'comment':'CFM-RDI-TI-MI'
},
931:{
'dataset':'Cifar10',
'targeted':True,
'epsilon':16,
'alpha':2,
'max_iterations':300, # "max_iterations"
'num_images':1000,
'p':1., # "prob for DI and RE"
'source_model_names':['resnet50','vgg16_bn','densenet121','inception_v3'],
#
'target_model_names':['vgg16_bn', 'resnet18', 'resnet50','mobilenet_v2','inception_v3','densenet121',
'ens3_res20_baseline','ens3_res20_adp','ens3_res20_gal','ens3_res20_dverge'],
#