JindongGu

backdoor-learning-resources

A list of backdoor learning resources

pytorch-deform-conv

PyTorch implementation of Deformable Convolution

BackdoorBox

The open-sourced Python toolbox for backdoor attacks and defenses.

CrossFormer

The official code for the paper: https://openreview.net/forum?id=_PHymLIxuI

Awesome-Prompting-on-Vision-Language-Model

This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

RMI

This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.

Divide-and-Co-training

[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

aokvqa

Official repository for the A-OKVQA dataset

Untargeted_Backdoor_Watermark

This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection', accepted in NeurIPS 2022.

Awesome_Adversarial_Transferability

A curated list of papers for the transferability of adversarial examples

Robust-Semantic-Segmentation

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

ASD

[CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset

icml-2022

Crowdsourcing metrics and test datasets beyond ImageNet (ICML 2022 workshop)

Watermark-Vaccine

The code for ECCV2022 (Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal)

StealingVerification

Defending against Model Stealing via Verifying Embedded External Features

CroPA

HiT-ADV

The code of "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds" CVPR 2024

Open-sourced_Dataset_Protection

This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on Dataset Curation and Security, 2020.

Semi-supervised_Robust_Training

This is the code for semi-supervised robust training (SRT).

Contrastive-LRP

A pytorch implemention of the Explainable AI work 'Contrastive layerwise relevance propagation (CLRP)'

adaptation_robustness

Evaluate robustness of adaptation methods on large vision-language models

MeVTR

Official github repo for ICCV2023 paper 'Multi-event Video-Text Retrieval'

keras-explain

The toolkit to explain Keras model predictions.

SimDis

A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models

GraRep

A python implementation of the paper "GraRep: Learning Graph Representations with Global Structural Information".

GraCapsNet

A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition

PF-Attack

The code for AAAI2023 (Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization)

ViT_Patch_Robustness

A pytorch implemention of the ECCV2022 paper "Are vision transformers robust to patch perturbations?"

VoteAttack

A PyTorch implementation of the ICLR 2021 paper "Effective and Efficient Vote Attack on Capsule Networks"