Greilfang's Stars
geekan/HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
afatcoder/LeetcodeTop
汇总各大互联网公司容易考察的高频leetcode题🔥
zijie0/HumanSystemOptimization
健康学习到150岁 - 人体系统调优不完全指南
xxlong0/Wonder3D
Single Image to 3D using Cross-Domain Diffusion for 3D Generation
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
microsoft/DeBERTa
The implementation of DeBERTa
binance/binance-connector-python
Simple connector to Binance Public API
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
carlini/nn_robust_attacks
Robust evasion attacks against neural network to find adversarial examples
thuml/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
P2333/Papers-of-Robust-ML
Related papers for robust machine learning
wenzhu23333/Differential-Privacy-Based-Federated-Learning
Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )
JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning
机器学习和差分隐私的论文笔记和代码仓
mahyarnajibi/FreeAdversarialTraining
PyTorch Implementation of Adversarial Training for Free!
WUYANXIUSHI/BLACK_NEWS
北京邮电大学郑凤事件完整pdf
LinXueyuanStdio/PyTorch-DDPM
500 行代码实现降噪扩散模型 DDPM,干净无依赖
chenhaoxing/DiffUTE
This repository is the code of our paper "DiffUTE: Universal Text Editing Diffusion Model" (NeurIPS'2023).
as791/Adversarial-Example-Attack-and-Defense
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.
baojunshan/nlp-fluency
评估自然语言的流畅度
NetManAIOps/KPI-Anomaly-Detection
2018AIOps: The 1st match for AIOps
zaixizhang/FLDetector
The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"
Wang-pengfei/SAGM
The official codes of our CVPR-2023 paper: Sharpness-Aware Gradient Matching for Domain Generalization
jinghuichen/Focused-Flip-Federated-Backdoor-Attack
Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning
tml-epfl/sam-low-rank-features
Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
zhangzp9970/MIA
Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
FLAIR-THU/TrustworthyFederatedLearning
THU-AIR 联邦学习隐私与安全
qiqi-helloworld/ABSGD
Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951
CRIPAC-DIG/AUG-MAE
Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.
rpatrik96/vae-sam
VAEs and SAM