shitfing

TransferAttack

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

Transfer_attack_RAP

Torch-Pruning

[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

SSA

Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples

SASD

Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement (CVPR 2024)

F-SAM

[CVPR 2024] Friendly Sharpness-Aware Minimization

SI-NI-FGSM

Beyond-ImageNet-Attack

Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.

Neural-Network-Parameter-Diffusion

We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

AdvDrop

Code for "Adversarial attack by dropping information." (ICCV 2021)

pytorch-AdaIN

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

SIT

[ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability

Stochastic-Gradient-Aggregation

Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

simsiam

PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

PyTorchRelevancePropagation

A basic implementation of Layer-wise Relevance Propagation (LRP) in PyTorch.

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

timm-vis

Visualizer for PyTorch image models

pytorch-adversarial-attack

Implementation of gradient-based adversarial attack(FGSM,MI-FGSM,PGD)

Generative_Adversarial_Perturbations

Generative Adversarial Perturbations (CVPR 2018)

StyleTransfer

Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in PyTorch

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Self-Universality

Enhancing the Self-Universality for Transferable Targeted Attacks [CVPR 2023 Paper]

CDA

Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

M3D

Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)

TTP

Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more