zenghuh's Stars
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
matter-labs/awesome-zero-knowledge-proofs
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP).
mseitzer/pytorch-fid
Compute FID scores with PyTorch.
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
facebookresearch/mixup-cifar10
mixup: Beyond Empirical Risk Minimization
TalwalkarLab/leaf
Leaf: A Benchmark for Federated Settings
jjbrophy47/machine_unlearning
Existing Literature about Machine Unlearning
corgi-kx/blockchain_consensus_algorithm
代码实现五种区块链共识算法 The code implements five blockchain consensus algorithms
datawhalechina/learn-python-the-smart-way
聪明方法学Python,简明且系统的 Python 入门教程。
uvm-plaid/programming-dp
iQua/flsim
A simulation framework for Federated Learning written in PyTorch
Billy1900/Awesome-Differential-Privacy
Differential private machine learning
cleverhans-lab/machine-unlearning
git-disl/DataPoisoning_FL
Code for Data Poisoning Attacks Against Federated Learning Systems
LaTeX-Bibitem-Styler/latex-bibitemstyler
Automatically exported from code.google.com/p/latex-bibitemstyler
DingfanChen/GS-WGAN
Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
illidanlab/dpgan
Source code of paper "Differentially Private Generative Adversarial Network"
OPTML-Group/Unlearn-Sparse
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Stephenfang51/command_for_deeplearning
整合一份使用使用Linux 以及 conda环境等做深度学习 常使用到的指令
jeremy313/FL-WBC
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
PEILab-Federated-Learning/PromptFL
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
ldsec/unlynx
A decentralized privacy-preserving data sharing tool
Lornatang/PyTorch-WGANGP
PyTorch implements WGAN_GP
SliencerX/Learning-to-Attack-Federated-Learning
2022xi/PPSVMT
这是一个基于Paillier同态加密系统的隐私保护SVM模型训练算法。
epfl-dlab/secvm-server
The server to collect user data and learn an SVM in the SecVM project
123000001212/MODA
Pytorch implement of MODA
teuron/optimal_truncated_noise
umd-huang-lab/poison-rl
Code for paper Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics. https://arxiv.org/abs/2009.00774