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GitHub topics: membership-inference-attack

privacytrustlab/ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Language: Jupyter Notebook - Size: 64.3 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 642 - Forks: 106

thuanphat03/Unlearn-PIU-FR

[ACIIDS 2025] "PIU-FR: Personal Identity Unlearning for Facial Recognition" by Thai Hoang Le*, Phat Thuan Tran, and Nhi Man Bui Nguyen

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

MKZuziak/SECRYPT_2025_MIA_SHAP

Repository of the paper "Can contributing more put you at a higher leakage risk? The Relationship between Shapley Value and training data leakage risks in Federated Learning"

Language: Jupyter Notebook - Size: 83.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

AI-SDC/SACRO-ML

Collection of tools and resources for managing the statistical disclosure control of trained machine learning models

Language: Python - Size: 16.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 28 - Forks: 5

MinghuiChen43/awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

Size: 7.57 MB - Last synced at: 1 day ago - Pushed at: 11 days ago - Stars: 365 - Forks: 35

PMBio/Health-Privacy-Challenge

The starter kit for the CAMDA 2025 Health Privacy Challenge.

Language: Python - Size: 43 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 5 - Forks: 5

mvujas/mmiat

Minimal Membership-Inference Attack (MIA) Toolkit

Language: Python - Size: 184 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

jinzhuoran/RWKU

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024

Language: Python - Size: 3.82 MB - Last synced at: 27 days ago - Pushed at: 7 months ago - Stars: 72 - Forks: 7

ShiChen28/HP-MIA

A PyTorch implementation of "HP-MIA: A novel membership inference attack scheme for high membership prediction precision"

Language: Python - Size: 450 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

zjysteven/mink-plus-plus

[ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs

Language: Python - Size: 3.8 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 37 - Forks: 5

tsinghua-fib-lab/AAAI2025_MIA-Tuner

[AAAI'25 Oral] "MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector".

Language: Python - Size: 28.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 142 - Forks: 7

tsinghua-fib-lab/ANeurIPS2024_SPV-MIA

[NeurIPS'24] "Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration"

Language: Python - Size: 620 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 177 - Forks: 14

vanderschaarlab/DOMIAS Fork of holarissun/DOMIAS

DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.

Language: Python - Size: 110 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 3

Stry233/mist.llm

A plug-and-play module for deploying MIST to LLM training

Language: Python - Size: 1.33 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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

Language: Python - Size: 7.89 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 97 - Forks: 13

liuyugeng/ML-Doctor

Code for ML Doctor

Language: Python - Size: 123 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 83 - Forks: 23

Koukyosyumei/Attack_SplitNN

reveal the vulnerabilities of SplitNN

Language: Python - Size: 58 MB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 30 - Forks: 6

aayushhyadav/MIA

Evaluating the efficiency of Metric Mapping algorithm to mitigate black-box membership inference attack.

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

paoyw/DLS-MIA

Investigating the privacy vulnerabilities in deep learning steganography using the membership inference attacks.

Language: Python - Size: 5.86 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

yyy01/PAC

The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)

Language: Python - Size: 210 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 0

horanshi/LDC-MIA

The source code of the paper "Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks"(EuroS&P 2024)

Language: Python - Size: 230 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

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.

Language: Python - Size: 428 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

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

Language: Python - Size: 359 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 50 - Forks: 2

spring-epfl/disparate-vulnerability

Accompanying code for "Disparate Vulnerability to Membership Inference Attacks"

Language: Python - Size: 22.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 2

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"

Language: Jupyter Notebook - Size: 4.57 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

shilab/DP-MIA Fork of work-hard-play-harder/DP-MIA

Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data

Language: Python - Size: 2.39 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 3

yonsei-sslab/MIA

🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"

Language: Python - Size: 2.44 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 6

luckyos-code/mia-covid

Privacy in Practice: Private COVID-19 Detection in X-Ray Images

Language: Jupyter Notebook - Size: 249 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

guyelov/Face-Recognition-Mitigation-Method

A mitigation method against privacy violation attacks on face recognition systems

Language: Python - Size: 234 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

trucndt/ami

Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning

Language: Python - Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

sharmi1206/Membership_Inference_Attack_DP

Testing membership inference attacks on Deep learning models (LSTM, CNN);

Language: Python - Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

Jaap-Meerhof/Federated_XGBoost_Python

FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference

Language: Python - Size: 18 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 0

milosilo/janice

the Janice repository, your hub for exploring machine learning security through practical examples, attack simulations, and defense strategies.

Language: Python - Size: 92.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shrebox/Privacy-Attacks-in-Machine-Learning

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

Language: Python - Size: 199 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 31 - Forks: 7

Pilladian/ml-attack-framework

Universität des Saarlandes - Privacy Enhancing Technologies 2021 - Semester Project

Size: 369 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

VissaMoutafis/Membership-Inference-Research

Bachelor's Thesis on Membership Inference Attacks

Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 0

yigitcankaya/augmentation_mia

The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?

Language: Python - Size: 335 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 1

seclab-yonsei/mia-ko-lm

Performing membership inference attack (MIA) against Korean language models (LMs).

Language: Python - Size: 4.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

MinChen00/UnlearningLeaks

Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)

Language: Python - Size: 35.2 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 24 - Forks: 4

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

Membership inference against Federated learning.

Language: Python - Size: 20.3 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

PrivPkt/PrivPkt

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Language: Python - Size: 488 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 82 - Forks: 15

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

Language: Python - Size: 404 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 1

Rohit8y/MICO

Microsoft's Membership Inference Competition (MICO) for CIFAR10 using shadow models.

Language: Jupyter Notebook - Size: 101 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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

Implementations on SP in ML

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1

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.

Language: Python - Size: 18.6 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

TinfoilHat0/RelaxLoss

An implementation of ICLR 22 paper "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" in PyTorch

Language: Python - Size: 178 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

um-dsp/DP-UTIL

DP-UTIL: A Comprehensive Utility Analysis of Differential Privacy in Machine Learning

Language: Jupyter Notebook - Size: 214 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

kargaranamir/Secure-and-Private-AI

This repository contains personal notes and summaries on Secure and Private AI

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 5 days ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

thesukantadey/membership-inference Fork of csong27/membership-inference

Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

Size: 7.81 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

Related Keywords
membership-inference-attack 49 machine-learning 23 privacy 18 differential-privacy 8 pytorch 7 data-privacy 7 machine-unlearning 5 deep-learning 5 large-language-models 4 federated-learning 4 adversarial-machine-learning 4 attribute-inference-attack 4 privacy-preserving-machine-learning 3 membership-inference 3 unlearning 3 forgetting 3 adversarial-attacks 3 security 3 model-inversion-attack 3 inference 3 data-removal 3 neural-networks 2 nlp 2 model-stealing 2 model-inversion-attacks 2 generative-model 2 data-deletion 2 pretraining-data-detection 2 tensorflow 2 python 2 privacy-audit 2 trustworthy-ai 2 data-protection 2 fairness 2 ai-alignment 2 pentesting 1 lstm 1 cnn 1 attacks 1 privacy-attacks 1 collaborative-learning 1 face-recognition 1 covid-19 1 gpt3 1 poisoning-attack 1 genomic-data-analysis 1 kogpt 1 genetic-privacy 1 traffic-classification 1 generative-ai 1 machine-learning-privacy 1 tensorflow2 1 data-contamination 1 ai-safety 1 watermark 1 steganography 1 korean 1 secruity 1 pentest 1 encrypted-traffic 1 neural-network 1 machinelearning 1 gradient-based-attack 1 feature-manipulation-attack 1 exploratory-attack 1 evasion-attack 1 data-poisoning-attack 1 cybersecurity 1 redteam 1 aisecurity 1 ttps 1 ai 1 xgboost 1 cyber-security 1 privacy-leakages-of-ml 1 information-security 1 gradient-boosting-classifier 1 gdbt-classifier 1 privacy-leakage 1 tensorflow-privacy 1 data-augmentation 1 multi-class-classification 1 membership-inference-attacks 1 artificial-intelligence 1 synthetic-data-generation 1 single-cell 1 scrna-seq 1 rna-seq 1 generative-models 1 watermarking 1 uncertainty 1 robustness 1 poisoning 1 ownership 1 out-of-distribution-generalization 1 interpretable-deep-learning 1 hallucinations 1 green-ai 1 gradient-leakage 1 causality 1