membership-inference-attack

There are 3 repositories under membership-inference-attack topic.

privacytrustlab / ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
machine-learning data-privacy privacy inference information-leakage gdpr data-protection data-protection-impact-assessment privacy-audit explainable-ai membership-inference-attack
Language:Jupyter Notebook 548
MinghuiChen43 / awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
adversarial-machine-learning ai-alignment backdoor causality deep-learning fairness gradient-leakage green-ai hallucinations interpretable-deep-learning machine-unlearning membership-inference-attack out-of-distribution-generalization ownership poisoning privacy robustness security uncertainty watermarking
290
PrivPkt / PrivPkt
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
differential-privacy federated-learning encrypted-traffic traffic-classification neural-network collaborative-learning membership-inference-attack
Language:Python 111
liuyugeng / ML-Doctor
Code for ML Doctor
machine-learning membership-inference-attack attribute-inference-attack model-inversion-attacks model-stealing differential-privacy knowledge-distillation
Language:Python 78
OPTML-Group / Unlearn-Saliency
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
unlearning machine-unlearning data-removal diffusion diffusion-models forgetting generative-model data-deletion data-privacy membership-inference membership-inference-attack
Language:Python 74
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
data-privacy machine-unlearning data-deletion data-removal forgetting membership-inference membership-inference-attack unlearning
Language:Python 52
shrebox / Privacy-Attacks-in-Machine-Learning
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
attribute-inference-attack membership-inference-attack model-inversion-attack pytorch
Language:Python 45
MinChen00 / UnlearningLeaks
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
machine-unlearning membership-inference-attack machine-learning
Language:Python 41
Koukyosyumei / Attack_SplitNN
reveal the vulnerabilities of SplitNN
splitnn split-learning model-inversion membership-inference-attack model-inversion-attacks membership-inference privacy security-vulnerability attack-splitnn leakage paper attack notebook
Language:Python 28
yonsei-sslab / MIA
🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
pytorch security deep-learning machine-learning membership-inference-attack
Language:Python 22
AI-SDC / AI-SDC
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
attribute-inference-attack data-privacy data-protection inference machine-learning membership-inference-attack privacy differential-privacy statistical-disclosure-control
Language:Python 19
zjysteven / mink-plus-plus
Min-K%++: Improved baseline for detecting pre-training data of LLMs https://arxiv.org/abs/2404.02936
llama llm mamba membership-inference-attack pythia pretraining-data-detection
Language:Python 18
ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
adversarial-attacks machine-learning membership-inference-attack
Language:Python 16
shilab / DP-MIA
Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data
differential-privacy membership-inference-attack genetic-privacy machine-learning genomic-data-analysis
Language:Python 14
VissaMoutafis / Membership-Inference-Research
Bachelor's Thesis on Membership Inference Attacks
membership-inference-attack machine-learning data-privacy cyber-security information-security
Language:Jupyter Notebook 11
Federated_XGBoost_Python
Jaap-Meerhof / Federated_XGBoost_Python
FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference
gdbt-classifier gradient-boosting-classifier membership-inference-attack python xgboost federated-learning
Language:Python 10
trucndt / ami
Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning
machine-learning membership-inference-attack
Language:Python 9
yigitcankaya / augmentation_mia
The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
adversarial-machine-learning data-augmentation deep-learning machine-learning membership-inference-attack privacy
Language:Python 8
spring-epfl / disparate-vulnerability
Accompanying code for "Disparate Vulnerability to Membership Inference Attacks"
fairness machine-learning membership-inference-attack
Language:Python 7
TinfoilHat0 / 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.
adversarial-machine-learning deep-learning membership-inference-attack privacy pytorch
Language:Python 7
gongzhimin / Membership-Inference-Attack-in-Federated-Learning
Membership inference against Federated learning.
federated-learning membership-inference-attack privacy tensorflow2
Language:Python 6
mahdiabdollahpour / Security-and-Privacy-in-Machine-Learning
Implementations on Security and Privacy in ML; Evasion Attack, Model Stealing, Model Poisoning, Membership Inference Attacks, ...
adversarial-attacks machine-learning membership-inference-attack model-stealing poisoning-attack privacy security
Language:Jupyter Notebook 6
seclab-yonsei / mia-ko-lm
Performing membership inference attack (MIA) against Korean language models (LMs).
generative-model gpt3 kogpt korean membership-inference-attack nlp
Language:Python 6
vanderschaarlab / DOMIAS
DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.
membership-inference-attack privacy synthetic-data
Language:Python 6
Pilladian / ml-attack-framework
Universität des Saarlandes - Privacy Enhancing Technologies 2021 - Semester Project
privacy machine-learning attribute-inference-attack membership-inference-attack model-inversion-attack pytorch python
5
sharmi1206 / Membership_Inference_Attack_DP
Testing membership inference attacks on Deep learning models (LSTM, CNN);
cnn attacks privacy differential-privacy tensorflow tensorflow-privacy lstm neural-networks membership-inference-attacks membership-inference-attack multi-class-classification
Language:Python 5
ml-research / To-Trust-or-Not-To-Trust-Prediction-Scores-for-Membership-Inference-Attacks
Source code for our IJCAI-ECAI 2022 paper "To Trust or Not To Trust Prediction Scores for Membership Inference Attacks"
machine-learning membership-inference-attack privacy-preserving-machine-learning
Language:Jupyter Notebook 4
yyinfaramita / Crystal
Defending Privacy Against More Knowledgeable Membership Inference Attackers
membership-inference-attack pytorch
Language:Python 4
luckyos-code / mia-covid
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
covid-19 differential-privacy machine-learning membership-inference-attack privacy-preserving-machine-learning
Language:Jupyter Notebook 2
horanshi / LDC-MIA
The source code of the paper "Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks"(EuroS&P 2024)
machine-learning machine-learning-privacy membership-inference-attack
Language:Python 1
lycogno / mia-icpr
This repository accompanies the paper "SynthShield: Leveraging Synthetic Distributions to Enhance Privacy Against Membership Inference" currently under review at the International Conference on Pattern Recognition (ICPR). It contains the main code used in applying and analysing the SynthShield technique analysed in the paper.
generative-ai machine-learning membership-inference-attack privacy
Language:Python 1
Rohit8y / MICO
Microsoft's Membership Inference Competition (MICO) for CIFAR10 using shadow models.
membership-inference-attack mico pytorch
Language:Jupyter Notebook 1
um-dsp / DP-UTIL
DP-UTIL: A Comprehensive Utility Analysis of Differential Privacy in Machine Learning
data-privacy differential-privacy inference machine-learning membership-inference-attack privacy privacy-audit privacy-leakage privacy-leakages-of-ml
Language:Jupyter Notebook 1
guyelov / Face-Recognition-Mitigation-Method
A mitigation method against privacy violation attacks on face recognition systems
face-recognition membership-inference-attack privacy-attacks pytorch
Language:Python 0
TinfoilHat0 / RelaxLoss
An implementation of ICLR 22 paper "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" in PyTorch
adversarial-machine-learning deep-learning machine-learning membership-inference-attack privacy pytorch
Language:Python 0
aayushhyadav / MIA
Evaluating the impact of entropy, maximum posterior probability, and standard deviation of probability vector in mitigating black-box membership inference attack
machine-learning membership-inference-attack privacy

membership-inference-attack

privacytrustlab / ml_privacy_meter

MinghuiChen43 / awesome-trustworthy-deep-learning

PrivPkt / PrivPkt

liuyugeng / ML-Doctor

OPTML-Group / Unlearn-Saliency

OPTML-Group / Unlearn-Sparse

shrebox / Privacy-Attacks-in-Machine-Learning

MinChen00 / UnlearningLeaks

Koukyosyumei / Attack_SplitNN

yonsei-sslab / MIA

AI-SDC / AI-SDC

zjysteven / mink-plus-plus

ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage

shilab / DP-MIA

VissaMoutafis / Membership-Inference-Research

Jaap-Meerhof / Federated_XGBoost_Python

trucndt / ami

yigitcankaya / augmentation_mia

spring-epfl / disparate-vulnerability

TinfoilHat0 / MemberInference-by-LossThreshold

gongzhimin / Membership-Inference-Attack-in-Federated-Learning

mahdiabdollahpour / Security-and-Privacy-in-Machine-Learning

seclab-yonsei / mia-ko-lm

vanderschaarlab / DOMIAS

Pilladian / ml-attack-framework

sharmi1206 / Membership_Inference_Attack_DP

ml-research / To-Trust-or-Not-To-Trust-Prediction-Scores-for-Membership-Inference-Attacks

yyinfaramita / Crystal

luckyos-code / mia-covid

horanshi / LDC-MIA

lycogno / mia-icpr

Rohit8y / MICO

um-dsp / DP-UTIL

guyelov / Face-Recognition-Mitigation-Method

TinfoilHat0 / RelaxLoss

aayushhyadav / MIA