├── LICENSE ├── README.md ├── analysis ├── Demos │ ├── Demo_ACT.ipynb │ ├── Demo_ActDist.ipynb │ ├── Demo_CM.ipynb │ ├── Demo_FM.ipynb │ ├── Demo_FV.ipynb │ ├── Demo_Frequency.ipynb │ ├── Demo_GradCam.ipynb │ ├── Demo_Hessian.ipynb │ ├── Demo_Landscape.ipynb │ ├── Demo_Lips.ipynb │ ├── Demo_Neuron_Activation.ipynb │ ├── Demo_Quality.ipynb │ ├── Demo_SHAP.ipynb │ ├── Demo_TAC.ipynb │ ├── Demo_TSNE.ipynb │ └── Demo_UMAP.ipynb ├── demo.sh ├── demo_images │ ├── demo_act.png │ ├── demo_cm.png │ ├── demo_fre.png │ ├── demo_fv.png │ ├── demo_gradcam.png │ ├── demo_hessian.png │ ├── demo_landscape.png │ ├── demo_lips.png │ ├── demo_metric.png │ ├── demo_na.png │ ├── demo_network.png │ ├── demo_network_2.png │ ├── demo_out.png │ ├── demo_path.png │ ├── demo_shap.png │ ├── demo_tac.png │ ├── demo_tsne.jpg │ └── demo_umap.png ├── readme.md ├── visual_act.py ├── visual_actdist.py ├── visual_cm.py ├── visual_fm.py ├── visual_fre.py ├── visual_fv.py ├── visual_gradcam.py ├── visual_hessian.py ├── visual_landscape.py ├── visual_lips.py ├── visual_metric.py ├── visual_na.py ├── visual_network.py ├── visual_quality.py ├── visual_shap.py ├── visual_tac.py ├── visual_tsne.py ├── visual_umap.py └── visual_utils.py ├── attack ├── badnet.py ├── blended.py ├── blind.py ├── bpp.py ├── ctrl.py ├── ftrojann.py ├── inputaware.py ├── lc.py ├── lf.py ├── lira.py ├── poison_ink.py ├── prototype.py ├── refool.py ├── sig.py ├── ssba.py ├── trojannn.py └── wanet.py ├── backdoorbench_nlp ├── README.md ├── attack │ ├── hiddenkiller │ │ ├── attack_hiddenkiller.py │ │ ├── generate_by_openattack.py │ │ └── generate_poison_train_data.py │ └── lws │ │ ├── __pycache__ │ │ ├── attack_lws.cpython-37.pyc │ │ └── self_learning_poison_nn.cpython-37.pyc │ │ └── attack_lws.py ├── config │ ├── attack │ │ ├── hiddenkiller │ │ │ ├── generate_poison_data.yaml │ │ │ ├── generate_poison_train_data.yaml │ │ │ └── hiddenkiller_default.yaml │ │ └── lws │ │ │ └── lws_default.yaml │ └── defense │ │ └── onion │ │ ├── onion_hiddenkiller.yaml │ │ └── onion_lws.yaml ├── defense │ └── onion │ │ ├── test_defense_hiddenkiller.py │ │ └── test_defense_lws.py ├── models │ ├── english-left3words-distsim.tagger │ └── stanford-postagger.jar └── utils │ ├── __pycache__ │ ├── PackDataset.cpython-37.pyc │ ├── dataset_loader.cpython-37.pyc │ ├── gptlm.cpython-37.pyc │ └── test_poison_processed_bert.cpython-37.pyc │ ├── dataset_loader.py │ ├── gptlm.py │ ├── pack_dataset.py │ └── test_poison_processed_bert.py ├── config ├── attack │ ├── badnet │ │ └── default.yaml │ ├── blended │ │ └── default.yaml │ ├── blind │ │ ├── cifar10_mgda.yaml │ │ └── default.yaml │ ├── bpp │ │ ├── default.yaml │ │ └── original_default.yaml │ ├── ctrl │ │ └── default.yaml │ ├── ftrojannn │ │ └── default.yaml │ ├── inputaware │ │ └── default.yaml │ ├── lc │ │ └── default.yaml │ ├── lf │ │ └── default.yaml │ ├── lira │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── cifar10_backup.yaml │ │ ├── default.yaml │ │ ├── gtsrb.yaml │ │ ├── original_default.yaml │ │ └── tiny.yaml │ ├── poison_ink │ │ └── default.yaml │ ├── prototype │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── quick_learn │ │ └── default.yaml │ ├── refool │ │ ├── default.yaml │ │ └── paper_setting.yaml │ ├── sig │ │ └── default.yaml │ ├── ssba │ │ └── default.yaml │ ├── trojannn │ │ ├── convnext_tiny.yaml │ │ ├── densenet161.yaml │ │ ├── efficientnet_b3.yaml │ │ ├── mobilenet_v3_large.yaml │ │ ├── preactresnet18.yaml │ │ ├── vgg19.yaml │ │ ├── vgg19_bn.yaml │ │ └── vit_b_16.yaml │ └── wanet │ │ └── default.yaml ├── defense │ ├── abl │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── ac │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── anp │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── bnp │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── clp │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── d-br │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── d-st │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── dbd │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── ep │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── fp │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── ft-sam │ │ ├── cifar10.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── ft │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── i-bau │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── index │ │ ├── cifar100_index.txt │ │ ├── cifar10_index.txt │ │ ├── gtsrb_index.txt │ │ └── tiny_index.txt │ ├── mbns │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── mcr │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── nab │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── nad │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── nc │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── npd │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── rnp │ │ └── config.yaml │ ├── sau │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ └── spectral │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml ├── detection │ ├── abl │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── ac │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── agpd │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ ├── imagenetsub.yaml │ │ └── tiny.yaml │ ├── asset │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── beatrix │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── cd │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── config.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── dbr │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── freak │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── nc │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── scan │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── sentinet │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── spectral │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── spectre │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ ├── strip │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml │ └── teco │ │ ├── cifar10.yaml │ │ ├── cifar100.yaml │ │ ├── gtsrb.yaml │ │ └── tiny.yaml └── visualization │ └── default.yaml ├── dataset ├── CelebA.py ├── GTSRB.py └── Tiny.py ├── defense ├── __init__.py ├── abl.py ├── ac.py ├── anp.py ├── base.py ├── bnp.py ├── clp.py ├── d-br.py ├── d-st.py ├── dataset_load_mode.py ├── dbd.py ├── ep.py ├── fp.py ├── ft-sam.py ├── ft.py ├── i-bau.py ├── mcr.py ├── nab.py ├── nad.py ├── nc.py ├── npd.py ├── rnp.py ├── sau.py └── spectral.py ├── detection_infer ├── sentinet.py ├── strip.py └── teco.py ├── detection_pretrain ├── abl.py ├── ac.py ├── agpd.py ├── agpd_utils.py ├── asset.py ├── beatrix.py ├── cd.py ├── scan.py ├── scan_frac.py ├── spectral.py ├── spectre.py ├── spectre_utils.py └── strip.py ├── for_imagenet ├── README.md ├── des_stats.py ├── generate_poison_val_badnet.py ├── generate_poison_val_blended.py ├── generate_poison_val_sig.py ├── multi_generate_poison_badnet.py ├── multi_generate_poison_blended.py ├── multi_generate_poison_sig.py └── train.py ├── models ├── preact_resnet.py ├── resnext.py └── senet.py ├── record └── readme.md ├── resource ├── .DS_Store ├── badnet │ ├── generate_grid.py │ ├── generate_white_square.py │ ├── readme.md │ ├── trigger_image.png │ └── trigger_image_grid.png ├── blended │ └── hello_kitty.jpeg ├── label-consistent │ ├── craft_adv_dataset.py │ ├── default.yaml │ └── readme.md ├── lowFrequency │ ├── cifar10.yaml │ ├── cifar100.yaml │ ├── cifar100_convnext_tiny_0_225.npy │ ├── cifar100_densenet161_0_255.npy │ ├── cifar100_efficientnet_b3_0_255.npy │ ├── cifar100_mobilenet_v3_large_0_255.npy │ ├── cifar100_preactresnet18_0_255.npy │ ├── cifar100_vgg19_0_255.npy │ ├── cifar100_vgg19_bn_0_255.npy │ ├── cifar100_vit_b_16_0_255.npy │ ├── cifar10_convnext_tiny_0_255.npy │ ├── cifar10_densenet161_0_255.npy │ ├── cifar10_efficientnet_b3_0_255.npy │ ├── cifar10_mobilenet_v3_large_0_255.npy │ ├── cifar10_preactresnet18_0_255.npy │ ├── cifar10_vgg19_0_255.npy │ ├── cifar10_vgg19_bn_0_255.npy │ ├── cifar10_vit_b_16_0_255.npy │ ├── deepfool.py │ ├── default.yaml │ ├── gauss_smooth.py │ ├── generate_pattern.py │ ├── gtsrb.yaml │ ├── gtsrb_convnext_tiny_0_255.npy │ ├── gtsrb_densenet161_0_255.npy │ ├── gtsrb_efficientnet_b3_0_255.npy │ ├── gtsrb_mobilenet_v3_large_0_255.npy │ ├── gtsrb_preactresnet18_0_255.npy │ ├── gtsrb_vgg19_0_255.npy │ ├── gtsrb_vgg19_bn_0_255.npy │ ├── gtsrb_vit_b_16_0_255.npy │ ├── readme.md │ ├── tiny.yaml │ ├── tiny_convnext_tiny_0_255.npy │ ├── tiny_densenet161_0_255.npy │ ├── tiny_efficientnet_b3_0_255.npy │ ├── tiny_mobilenet_v3_large_0_255.npy │ ├── tiny_preactresnet18_0_255.npy │ ├── tiny_vgg19_0_255.npy │ ├── tiny_vgg19_bn_0_255.npy │ ├── tiny_vit_b_16_0_255.npy │ └── universal_pert.py ├── poison_ink │ ├── dataset_convert_into_images.py │ ├── models │ │ ├── Discriminator.py │ │ ├── HidingRes.py │ │ ├── Huang_UNet.py │ │ ├── ReflectionUNet.py │ │ ├── RevealNet.py │ │ ├── Zac_UNet.py │ │ ├── __init__.py │ │ ├── networks.py │ │ ├── up_UNet.py │ │ └── up_UNet_rp.py │ ├── pytorch_ssim │ │ └── __init__.py │ ├── readme.md │ ├── train.py │ ├── trigger_generation.py │ ├── utils │ │ ├── debone_transfer.py │ │ └── transformed.py │ └── vgg.py ├── pyg_logo.png ├── refool │ └── Refool-SelectedReflectionImages │ │ ├── readme.txt │ │ ├── selected_names.txt │ │ └── selected_out-images │ │ ├── 2008_000041-00.jpg │ │ ├── 2008_000041-01.jpg │ │ ├── 2008_000041-02.jpg │ │ ├── 2008_000041-03.jpg │ │ ├── 2008_000041-04.jpg │ │ ├── 2008_000041-05.jpg │ │ ├── 2008_000041-06.jpg │ │ ├── 2008_000041-07.jpg │ │ ├── 2008_000041-08.jpg │ │ ├── 2008_000041-09.jpg │ │ ├── 2008_000041-10.jpg │ │ ├── 2008_000041-11.jpg │ │ ├── 2008_000041-12.jpg │ │ ├── 2008_000041-13.jpg │ │ ├── 2008_000041-14.jpg │ │ ├── 2008_000041-15.jpg │ │ ├── 2008_000041-16.jpg │ │ ├── 2008_000041-17.jpg │ │ ├── 2008_000041-18.jpg │ │ ├── 2008_000041-19.jpg │ │ ├── 2008_000041-20.jpg │ │ ├── 2008_000041-21.jpg │ │ ├── 2008_000041-22.jpg │ │ ├── 2008_000041-23.jpg │ │ ├── 2008_000041-24.jpg │ │ ├── 2008_000041-25.jpg │ │ ├── 2008_000041-26.jpg │ │ ├── 2008_000041-27.jpg │ │ ├── 2008_000041-28.jpg │ │ ├── 2008_000041-29.jpg │ │ ├── 2008_000188-00.jpg │ │ ├── 2008_000188-01.jpg │ │ ├── 2008_000188-02.jpg │ │ ├── 2008_000188-03.jpg │ │ ├── 2008_000188-04.jpg │ │ ├── 2008_000188-05.jpg │ │ ├── 2008_000188-06.jpg │ │ ├── 2008_000188-07.jpg │ │ ├── 2008_000188-08.jpg │ │ ├── 2008_000188-09.jpg │ │ ├── 2008_000188-10.jpg │ │ ├── 2008_000188-11.jpg │ │ ├── 2008_000188-12.jpg │ │ ├── 2008_000188-13.jpg │ │ ├── 2008_000188-14.jpg │ │ ├── 2008_000188-15.jpg │ │ ├── 2008_000188-16.jpg │ │ ├── 2008_000188-17.jpg │ │ ├── 2008_000188-18.jpg │ │ ├── 2008_000188-19.jpg │ │ ├── 2008_000188-20.jpg │ │ ├── 2008_000188-21.jpg │ │ ├── 2008_000188-22.jpg │ │ ├── 2008_000188-23.jpg │ │ ├── 2008_000188-24.jpg │ │ ├── 2008_000188-25.jpg │ │ ├── 2008_000188-26.jpg │ │ ├── 2008_000188-27.jpg │ │ ├── 2008_000188-28.jpg │ │ ├── 2008_000188-29.jpg │ │ ├── 2008_000196-00.jpg │ │ ├── 2008_000196-01.jpg │ │ ├── 2008_000196-02.jpg │ │ ├── 2008_000196-03.jpg │ │ ├── 2008_000196-04.jpg │ │ ├── 2008_000196-05.jpg │ │ ├── 2008_000196-06.jpg │ │ ├── 2008_000196-07.jpg │ │ ├── 2008_000196-08.jpg │ │ ├── 2008_000196-09.jpg │ │ ├── 2008_000196-10.jpg │ │ ├── 2008_000196-11.jpg │ │ ├── 2008_000196-12.jpg │ │ ├── 2008_000196-13.jpg │ │ ├── 2008_000196-14.jpg │ │ ├── 2008_000196-15.jpg │ │ ├── 2008_000196-16.jpg │ │ ├── 2008_000196-17.jpg │ │ ├── 2008_000196-18.jpg │ │ ├── 2008_000196-19.jpg │ │ ├── 2008_000196-20.jpg │ │ ├── 2008_000196-21.jpg │ │ ├── 2008_000196-22.jpg │ │ ├── 2008_000196-23.jpg │ │ ├── 2008_000196-24.jpg │ │ ├── 2008_000196-25.jpg │ │ ├── 2008_000196-26.jpg │ │ ├── 2008_000196-27.jpg │ │ ├── 2008_000196-28.jpg │ │ ├── 2008_000196-29.jpg │ │ ├── 2008_000196-30.jpg │ │ ├── 2008_000196-31.jpg │ │ ├── 2008_000237-00.jpg │ │ ├── 2008_000237-01.jpg │ │ ├── 2008_000237-02.jpg │ │ ├── 2008_000237-03.jpg │ │ ├── 2008_000237-04.jpg │ │ ├── 2008_000237-05.jpg │ │ ├── 2008_000237-06.jpg │ │ ├── 2008_000237-07.jpg │ │ ├── 2008_000237-08.jpg │ │ ├── 2008_000237-09.jpg │ │ ├── 2008_000237-10.jpg │ │ ├── 2008_000237-11.jpg │ │ ├── 2008_000237-12.jpg │ │ ├── 2008_000237-13.jpg │ │ ├── 2008_000237-14.jpg │ │ ├── 2008_000237-15.jpg │ │ ├── 2008_000237-16.jpg │ │ ├── 2008_000237-17.jpg │ │ ├── 2008_000237-18.jpg │ │ ├── 2008_000237-19.jpg │ │ ├── 2008_000237-20.jpg │ │ ├── 2008_000237-21.jpg │ │ ├── 2008_000237-22.jpg │ │ ├── 2008_000275-00.jpg │ │ ├── 2008_000275-01.jpg │ │ ├── 2008_000275-02.jpg │ │ ├── 2008_000275-03.jpg │ │ ├── 2008_000284-00.jpg │ │ ├── 2008_000284-01.jpg │ │ ├── 2008_000284-02.jpg │ │ ├── 2008_000284-03.jpg │ │ ├── 2008_000284-04.jpg │ │ ├── 2008_000284-05.jpg │ │ ├── 2008_000284-06.jpg │ │ ├── 2008_000284-07.jpg │ │ ├── 2008_000284-08.jpg │ │ ├── 2008_000284-09.jpg │ │ ├── 2008_000284-10.jpg │ │ ├── 2008_000284-11.jpg │ │ ├── 2008_000284-12.jpg │ │ ├── 2008_000284-13.jpg │ │ ├── 2008_000284-14.jpg │ │ ├── 2008_000284-15.jpg │ │ ├── 2008_000284-16.jpg │ │ ├── 2008_000284-17.jpg │ │ ├── 2008_000284-18.jpg │ │ ├── 2008_000284-19.jpg │ │ ├── 2008_000284-20.jpg │ │ ├── 2008_000284-21.jpg │ │ ├── 2008_000284-22.jpg │ │ ├── 2008_000284-23.jpg │ │ ├── 2008_000284-24.jpg │ │ ├── 2008_000284-25.jpg │ │ ├── 2008_000284-26.jpg │ │ ├── 2008_000284-27.jpg │ │ ├── 2008_000284-28.jpg │ │ ├── 2008_000284-29.jpg │ │ ├── 2008_000287-00.jpg │ │ ├── 2008_000287-01.jpg │ │ ├── 2008_000491-00.jpg │ │ ├── 2008_000491-01.jpg │ │ ├── 2008_000491-02.jpg │ │ ├── 2008_001133-00.jpg │ │ ├── 2008_001460-00.jpg │ │ ├── 2008_001460-01.jpg │ │ ├── 2008_001541-00.jpg │ │ ├── 2008_001541-01.jpg │ │ ├── 2008_001751-00.jpg │ │ ├── 2008_001751-01.jpg │ │ ├── 2008_001751-02.jpg │ │ ├── 2008_001751-03.jpg │ │ ├── 2008_001751-04.jpg │ │ ├── 2008_001751-05.jpg │ │ ├── 2008_001751-06.jpg │ │ ├── 2008_001751-07.jpg │ │ ├── 2008_001751-08.jpg │ │ ├── 2008_001751-09.jpg │ │ ├── 2008_001751-10.jpg │ │ ├── 2008_001751-11.jpg │ │ ├── 2008_001751-12.jpg │ │ ├── 2008_001751-13.jpg │ │ ├── 2008_001751-14.jpg │ │ ├── 2008_001751-15.jpg │ │ ├── 2008_001751-16.jpg │ │ ├── 2008_001751-17.jpg │ │ ├── 2008_001751-18.jpg │ │ ├── 2008_001751-19.jpg │ │ ├── 2008_001751-20.jpg │ │ ├── 2008_001751-21.jpg │ │ ├── 2008_001751-22.jpg │ │ ├── 2008_001751-23.jpg │ │ ├── 2008_001751-24.jpg │ │ ├── 2008_001751-25.jpg │ │ ├── 2008_001751-26.jpg │ │ ├── 2008_001751-27.jpg │ │ ├── 2008_001751-28.jpg │ │ ├── 2008_001751-29.jpg │ │ ├── 2008_003689-00.jpg │ │ ├── 2008_003689-01.jpg │ │ ├── 2008_003768-00.jpg │ │ ├── 2008_005146-00.jpg │ │ ├── 2008_005146-01.jpg │ │ ├── 2008_006203-00.jpg │ │ ├── 2008_008770-00.jpg │ │ ├── 2009_001327-00.jpg │ │ ├── 2009_001327-01.jpg │ │ ├── 2009_003961-00.jpg │ │ └── 2009_005070-00.jpg ├── ssba │ ├── custom_modules.py │ ├── dataset_convert_into_images.py │ ├── detect_fingerprints.py │ ├── dnnlib │ │ ├── __init__.py │ │ └── util.py │ ├── embed_fingerprints.py │ ├── generate_fingerprints.py │ ├── models.py │ ├── models_modulated.py │ ├── readme.md │ ├── requirements.txt │ ├── torch_utils │ │ ├── __init__.py │ │ ├── custom_ops.py │ │ ├── misc.py │ │ ├── ops │ │ │ ├── __init__.py │ │ │ ├── bias_act.cpp │ │ │ ├── bias_act.cu │ │ │ ├── bias_act.h │ │ │ ├── bias_act.py │ │ │ ├── conv2d_gradfix.py │ │ │ ├── conv2d_resample.py │ │ │ ├── fma.py │ │ │ ├── grid_sample_gradfix.py │ │ │ ├── upfirdn2d.cpp │ │ │ ├── upfirdn2d.cu │ │ │ ├── upfirdn2d.h │ │ │ └── upfirdn2d.py │ │ ├── persistence.py │ │ └── training_stats.py │ ├── train.py │ └── utils │ │ ├── calcu_metrics.py │ │ ├── dataset_processing.py │ │ ├── diff_utils.py │ │ ├── gpu_test.py │ │ ├── pack_images.py │ │ ├── perturbations.py │ │ └── process_npz.py └── trojannn │ ├── apple4.png │ ├── square.png │ └── watermark3.png ├── sh ├── gtsrb_download.sh ├── init_folders.sh ├── install.sh ├── load_for_test.py ├── scp_data.sh ├── scp_data_resource.sh └── timagenet_download.sh └── utils ├── aggregate_block ├── bd_attack_generate.py ├── dataset_and_transform_generate.py ├── fix_random.py ├── model_trainer_generate.py ├── save_path_generate.py └── train_settings_generate.py ├── backdoor_generate_poison_index.py ├── bd_dataset.py ├── bd_dataset_v2.py ├── bd_img_transform ├── SSBA.py ├── blended.py ├── ctrl.py ├── ftrojann.py ├── lc.py ├── patch.py └── sig.py ├── bd_label_transform └── backdoor_label_transform.py ├── choose_index.py ├── conv_pad_same.py ├── defense ├── utils_dbr │ ├── __init__.py │ ├── __pycache__ │ │ ├── __init__.cpython-38.pyc │ │ ├── dataloader_bd.cpython-38.pyc │ │ ├── sd.cpython-38.pyc │ │ └── utils_br.cpython-38.pyc │ ├── br_loss.py │ ├── dataloader_bd.py │ ├── models │ │ └── resnet_super.py │ ├── sd.py │ └── utils_br.py └── utils_dst │ ├── __init__.py │ ├── __pycache__ │ ├── __init__.cpython-38.pyc │ ├── dataloader_bd.cpython-38.pyc │ ├── sd.cpython-38.pyc │ ├── st_loss.cpython-38.pyc │ └── utils_st.cpython-38.pyc │ ├── dataloader_bd.py │ ├── models │ ├── __pycache__ │ │ └── resnet_super.cpython-38.pyc │ └── resnet_super.py │ ├── sd.py │ ├── st_loss.py │ └── utils_st.py ├── defense_utils ├── anp │ ├── __init__.py │ └── anp_model │ │ ├── __init__.py │ │ ├── anp_batchnorm.py │ │ ├── anp_layernorm.py │ │ ├── conv_anp.py │ │ ├── conv_new_anp.py │ │ ├── den_anp.py │ │ ├── eff_anp.py │ │ ├── mobilenet_anp.py │ │ ├── preact_anp.py │ │ ├── vgg_anp.py │ │ ├── vit_anp.py │ │ └── vit_new_anp.py ├── dbd │ ├── __init__.py │ ├── config_z │ │ ├── pretrain │ │ │ ├── signalTrigger │ │ │ │ ├── cifar10 │ │ │ │ │ └── example.yaml │ │ │ │ ├── imagenet │ │ │ │ │ └── example.yaml │ │ │ │ └── vggface │ │ │ │ │ └── example.yaml │ │ │ └── squareTrigger │ │ │ │ ├── cifar10 │ │ │ │ └── example.yaml │ │ │ │ ├── imagenet │ │ │ │ └── example.yaml │ │ │ │ └── vggface │ │ │ │ └── example.yaml │ │ └── semi │ │ │ ├── badnets │ │ │ ├── cifar10 │ │ │ │ └── example.yaml │ │ │ ├── imagenet │ │ │ │ └── example.yaml │ │ │ └── vggface2_30_resnet │ │ │ │ └── example.yaml │ │ │ └── blend │ │ │ ├── cifar10 │ │ │ └── example.yaml │ │ │ ├── imagenet │ │ │ └── example.yaml │ │ │ └── vggface2_30_resnet │ │ │ └── example.yaml │ ├── data │ │ ├── backdoor.py │ │ ├── cifar.py │ │ ├── dataset.py │ │ ├── imagenet.py │ │ ├── prefetch.py │ │ ├── trigger │ │ │ ├── cifar_1.png │ │ │ ├── hello_kitty.png │ │ │ ├── imagenet_apple_rainbow_32_32.png │ │ │ └── noise.png │ │ ├── utils.py │ │ └── vggface2.py │ ├── model │ │ ├── loss.py │ │ ├── model.py │ │ ├── network │ │ │ ├── conv_dbd.py │ │ │ ├── conv_new_dbd.py │ │ │ ├── densenet.py │ │ │ ├── densenet_dbd.py │ │ │ ├── densenet_face.py │ │ │ ├── efficientnet.py │ │ │ ├── efficientnet_dbd.py │ │ │ ├── mobilenet_dbd.py │ │ │ ├── preact_dbd.py │ │ │ ├── resnet_cifar.py │ │ │ ├── resnet_imagenet.py │ │ │ ├── vgg_dbd.py │ │ │ └── vit_dbd.py │ │ └── utils.py │ └── utils_db │ │ ├── box.py │ │ ├── setup.py │ │ └── trainer │ │ ├── log.py │ │ ├── semi.py │ │ ├── simclr.py │ │ ├── supervise.py │ │ └── utils.py ├── dbr │ ├── __init__.py │ ├── br_loss.py │ ├── dataloader_bd.py │ ├── models │ │ ├── resnet_cifar10.py │ │ ├── resnet_cifar100.py │ │ └── resnet_super.py │ ├── sd.py │ └── utils_br.py ├── dde │ └── dde_model │ │ ├── __init__.py │ │ ├── conv_dde.py │ │ ├── conv_new_dde.py │ │ ├── dde_batchnorm.py │ │ ├── dde_layernorm.py │ │ ├── den_dde.py │ │ ├── eff_dde.py │ │ ├── mobilenet_dde.py │ │ ├── preact_dde.py │ │ ├── vgg_dde.py │ │ ├── vit_dde.py │ │ └── vit_new_dde.py ├── dst │ ├── __init__.py │ ├── dataloader_bd.py │ ├── models │ │ ├── __pycache__ │ │ │ ├── resnet_super.cpython-38.pyc │ │ │ └── resnet_super.cpython-39.pyc │ │ ├── resnet_cifar10.py │ │ ├── resnet_cifar100.py │ │ └── resnet_super.py │ ├── sd.py │ ├── st_loss.py │ └── utils_st.py ├── mbns │ └── mbns_model │ │ ├── __init__.py │ │ ├── conv_mbns.py │ │ ├── conv_new_mbns.py │ │ ├── den_mbns.py │ │ ├── eff_mbns.py │ │ ├── mbns_batchnorm.py │ │ ├── mbns_layernorm.py │ │ ├── mobilenet_mbns.py │ │ ├── preact_mbns.py │ │ ├── resnet_mbns.py │ │ ├── vgg_mbns.py │ │ ├── vit_mbns.py │ │ └── vit_new_mbns.py ├── npd │ ├── __init__.py │ ├── evaluation.py │ └── utils.py ├── rnp │ ├── __init__.py │ └── rnp_model │ │ ├── __init__.py │ │ ├── blocks.py │ │ ├── mask_batchnorm.py │ │ ├── mobilenetv2.py │ │ ├── preact_rnp.py │ │ ├── resnet_rnp.py │ │ ├── resnet_rnp_old.py │ │ ├── vgg_rnp.py │ │ └── vgg_rnp_old.py └── sam │ ├── __init__.py │ ├── sam.py │ ├── scheduler.py │ └── util.py ├── log_assist.py ├── metric.py ├── nCHW_nHWC.py ├── prefetch.py ├── pytorch_ssim ├── __init__.py └── readme.md ├── quick_learning_utils ├── quick_learning_trainer.py └── quick_learning_trainer_v2.py ├── 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