membership-inference-attack
There are 48 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.
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
tsinghua-fib-lab/ANeurIPS2024_SPV-MIA
[NeurIPS'24] "Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration"
tsinghua-fib-lab/AAAI2025_MIA-Tuner
[AAAI'25 Oral] "MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector".
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
PrivPkt/PrivPkt
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
liuyugeng/ML-Doctor
Code for ML Doctor
jinzhuoran/RWKU
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
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
shrebox/Privacy-Attacks-in-Machine-Learning
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
MinChen00/UnlearningLeaks
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
zjysteven/mink-plus-plus
[ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
yonsei-sslab/MIA
đź”’ Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
Koukyosyumei/Attack_SplitNN
reveal the vulnerabilities of SplitNN
AI-SDC/SACRO-ML
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
shilab/DP-MIA
Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data
Jaap-Meerhof/Federated_XGBoost_Python
FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference
yyy01/PAC
The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
trucndt/ami
Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning
VissaMoutafis/Membership-Inference-Research
Bachelor's Thesis on Membership Inference Attacks
gongzhimin/Membership-Inference-Attack-in-Federated-Learning
Membership inference against Federated learning.
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.
yigitcankaya/augmentation_mia
The source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
seclab-yonsei/mia-ko-lm
Performing membership inference attack (MIA) against Korean language models (LMs).
spring-epfl/disparate-vulnerability
Accompanying code for "Disparate Vulnerability to Membership Inference Attacks"
vanderschaarlab/DOMIAS
DOMIAS, a density-based MIA model that aims to infer membership by targeting local overfitting of the generative model.
mahdiabdollahpour/Security-and-Privacy-in-Machine-Learning
Implementations on Security and Privacy in ML; Evasion Attack, Model Stealing, Model Poisoning, Membership Inference Attacks, ...
Pilladian/ml-attack-framework
Universität des Saarlandes - Privacy Enhancing Technologies 2021 - Semester Project
PMBio/Health-Privacy-Challenge
The starter kit for the CAMDA 2025 Health Privacy Challenge.
sharmi1206/Membership_Inference_Attack_DP
Testing membership inference attacks on Deep learning models (LSTM, CNN);
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"
yyinfaramita/Crystal
Defending Privacy Against More Knowledgeable Membership Inference Attackers
horanshi/LDC-MIA
The source code of the paper "Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks"(EuroS&P 2024)
luckyos-code/mia-covid
Privacy in Practice: Private COVID-19 Detection in X-Ray Images
ShiChen28/HP-MIA
A PyTorch implementation of "HP-MIA: A novel membership inference attack scheme for high membership prediction precision"