Jenson66

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Practicing-Federated-Learning

DiffPure

A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.

mia

A library for running membership inference attacks against ML models

LDP_Protocols

Sample LDP implementation in Python

label-inference-attacks

Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.

ML-Leaks

Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"

Privacy-Attacks-in-Machine-Learning

Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.

LPGNN

Locally Private Graph Neural Networks (ACM CCS 2021)

RelaxLoss

Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)

PATE

Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/1610.05755)

MLHospital

graphbackdoor

A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)

VFL-Survey

G-PATE

[NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li

FL-MIA

Federated Learning and Membership Inference Attacks experiments on CIFAR10

sokcertifiedrobustness.github.io

Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets

GraphMI

Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"

porla

Efficient Dynamic Proof of Retrievability

Secure-Network-Release-with-Link-Privacy

SP22

Membership Inference Attack on Federated Learning

COPA

[ICLR 2022] COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

CoPur

CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)

Membership-Inference-Attack-in-Federated-Learning

Membership inference against Federated learning.

MemberInference-by-LossThreshold

An implementation of loss thresholding attack to infer membership status as described in paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting" (CSF 18) in PyTorch.

byzantine-robust-decentralized-optimizer

LocalGuard-paper

This demo is implementation for the paper "LocalGuard: Guard the Vertical Federated Graph Learning from Property Inference Attack" (TNSE).

Cons-Def

Consensus Adversarial Defense Method Based on Augmented Examples