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Name: Coder

Type: User

Company: China

Location: China

Coder's Projects

a2mim

图像掩码建模MIM. [ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

adv-makeup

人脸隐私保护. [IJCAI 2021]Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition

adversarial-attack-methods-summary

对抗攻击方法汇总

adversarial_long-tail

长尾分布下对抗鲁棒性 [ CVPR 2021 Oral ] Adversarial Robustness under Long-Tailed Distribution

awesome-face-restoration

人脸复原领域首篇综述：A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal

awesome-federated-learning

联邦学习. FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

backdoor

后门攻击 [SP 2019] Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks

backdoorbench

多种后门攻击和防御集成 BackdoorBench

badencoder

后门攻击 [S&P 2022] BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning

badnets-pytorch

首个后门攻击 [Access 209] Badnets: Evaluating backdooring attacks on deep neural networks

brush-your-text

扩散模型 [AAAI 2024] Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model

cfa

对抗训练. [CVPR 2023] CFA: Class-Wise Calibrated Fair Adversarial Training

chameleon-durable-backdoor

持久性后门 [ICML 2023] Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning

decree

后门检测 [CVPR 2023] Detecting Backdoors in Pre-trained Encoders

deep-learning-for-image-processing

学习代码. deep learning for image processing including classification and object-detection etc.

deepmim

图像掩码建模MIM. DeepMIM: Deep Supervision for Masked Image Modeling

deeprobust

对抗攻击和防御（图片+图）A pytorch adversarial library for attack and defense methods on images and graphs

denoising-diffusion-pytorch

扩散模型. [NIPS 2020] Denoising Diffusion Probabilistic Model( in Pytorch)

diad

异常检测扩散模型 [AAAI 2024] DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

diffattack

对抗样本.DiffAttack is the first that introduces diffusion models into the adversarial attack field.

diffusion-models-papers-survey-taxonomy

首篇扩散模型综述 [ACM Computing Surveys 2023] Diffusion model papers, survey, and taxonomy

dit

扩散模型(基于Transformer). DiT-Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

dlg

梯度反演. [NeurIPS 2019] DLG攻击 Deep Leakage From Gradients

easyjailbreak

越狱攻击 EasyJailbreak

forget-me-not

扩散模型 Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion Models, 2023 （解决文本到图像生成模型中训练的遗忘问题）

generalist

对抗训练. [CVPR 2023] Generalist: Decoupling Natural and Robust Generalization

gifd_gradient_inversion_attack

梯度反演.[ICCV 2023] GIFD:A Generative Gradient Inversion Method with Feature Domain Optimization

guided-diffusion

扩散模型. This is the codebase for "Diffusion Models Beat GANS on Image Synthesis"

hidden-trigger-backdoor-attacks

后门攻击 [AAAI 2020] Hidden Trigger Backdoor Attacks

mae

图像掩码自编码器 MAE. [CVPR 2022] 何恺明 Masked Autoencoders Are Scalable Vision Learners

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