Universal Adversarial Perturbations (UAPs) for PyTorch

Adversarial Texture for Fooling Person Detectors in the Physical World

OpenMMLab Detection Toolbox and Benchmark

[CVPR 2024] "Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training", Di Ming, Peng Ren, Yunlong Wang, Xin Feng*

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

Generate adversarial patches against YOLOv5 🚀

ICCV 2021

Based on the mmdetection framework, compute various salience maps for object detection.

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

use yolov3 pytorch to train kitti

Pytorch implementation of convolutional neural network visualization techniques

[CVPR 2024] LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion.

Code for the paper "PAD: Patch-Agnostic Defense against Adversarial Patch Attacks" (CVPR 2024)

An adversarial attack on object detectors

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

[CVPR 2024] Boosting Adversarial Transferability by Block Shuffle and Rotation

TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.

GAMA: Generative Adversarial Multi-Object Scene Attacks (NeurIPS'22)

This is the implementation of the ECCV 2020 paper "Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency"

Implementation of AAAI 2022 Paper: Context-Aware Transfer Attacks for Object Detection

[MM '23] Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion

[CVPR 2023] T-SEA: Transfer-based Self-Ensemble Attack on Object Detection

Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

A repository for the paper "Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild"