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Name: Coder
Type: User
Company: China
Location: China
Name: Coder
Type: User
Company: China
Location: China
图像掩码建模MIM. [ICML 2023] Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
人脸隐私保护. [IJCAI 2021]Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition
对抗攻击方法汇总
长尾分布下对抗鲁棒性 [ CVPR 2021 Oral ] Adversarial Robustness under Long-Tailed Distribution
人脸复原领域首篇综述:A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact Removal
联邦学习. FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
后门攻击 [SP 2019] Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
多种后门攻击和防御集成 BackdoorBench
后门攻击 [S&P 2022] BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
首个后门攻击 [Access 209] Badnets: Evaluating backdooring attacks on deep neural networks
图像和文本隐私泄露 Breaching privacy in federated learning scenarios for vision and text
扩散模型 [AAAI 2024] Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
上下文自编码器 [arXiv 2022] Context AutoEncoder for Self-Supervised Representation Learning
对抗训练. [CVPR 2023] CFA: Class-Wise Calibrated Fair Adversarial Training
持久性后门 [ICML 2023] Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
模型劫持攻击 [Usenix Security 2024] Hijacking Attacks against Neural Network by Analyzing Training Data
后门检测 [CVPR 2023] Detecting Backdoors in Pre-trained Encoders
学习代码. deep learning for image processing including classification and object-detection etc.
图像掩码建模MIM. DeepMIM: Deep Supervision for Masked Image Modeling
对抗攻击和防御(图片+图)A pytorch adversarial library for attack and defense methods on images and graphs
扩散模型. [NIPS 2020] Denoising Diffusion Probabilistic Model( in Pytorch)
异常检测 扩散模型 [AAAI 2024] DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
对抗样本.DiffAttack is the first that introduces diffusion models into the adversarial attack field.
首篇扩散模型综述 [ACM Computing Surveys 2023] Diffusion model papers, survey, and taxonomy
扩散模型(基于Transformer). DiT-Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
梯度反演. [NeurIPS 2019] DLG攻击 Deep Leakage From Gradients
越狱攻击 EasyJailbreak
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)
对抗训练. [CVPR 2023] Generalist: Decoupling Natural and Robust Generalization
梯度反演.[ICCV 2023] GIFD:A Generative Gradient Inversion Method with Feature Domain Optimization
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.