SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

A pytorch adversarial library for attack and defense methods on images and graphs

[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

Code for Black-Box Adversarial Attack with Transferable Model-based Embedding

A repository for the query-efficient black-box attack, SignHunter

Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

This repository consists of the implementation of the paper published in ICCV 2021: "Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack"

[CVPR 2024] The official repo for Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

Unofficial implementation of ECCV20 paper "Thinking in frequency: Face forgery detection by mining frequency-aware clues"

The code of ICCV2021 paper "Meta Gradient Adversarial Attack"

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

Robust evasion attacks against neural network to find adversarial examples

This code is the official implementation of WEvade.

code for "Feature Importance-aware Transferable Adversarial Attacks"

We propose a statistical consistency attack (StatAttack) against diverse DeepFake detectors.

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)