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membership-inference-attack

Here are 74 public repositories matching this topic...

privacytrustlab / ml_privacy_meter

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

machine-learning privacy inference data-privacy gdpr data-protection explainable-ai information-leakage membership-inference-attack data-protection-impact-assessment privacy-audit

Updated Apr 26, 2025
Jupyter Notebook

MinghuiChen43 / awesome-trustworthy-deep-learning

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

Updated Aug 11, 2026

tsinghua-fib-lab / NeurIPS2024_SPV-MIA

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

membership-inference-attack trustworthy-ai large-language-models

Updated Mar 13, 2025
Python

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

generative-model data-privacy diffusion machine-unlearning forgetting diffusion-models data-deletion membership-inference-attack unlearning membership-inference data-removal

Updated Feb 28, 2026
Python

PrivPkt / PrivPkt

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

neural-network differential-privacy collaborative-learning federated-learning encrypted-traffic traffic-classification membership-inference-attack

Updated May 1, 2023
Python

tsinghua-fib-lab / AAAI2025_MIA-Tuner

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

ai-alignment membership-inference-attack large-language-models pretraining-data-detection

Updated Mar 17, 2025
Python

jinzhuoran / RWKU

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

benchmark natural-language-processing right-to-be-forgotten evaluation-framework privacy-protection adversarial-attacks forgetting membership-inference-attack unlearning large-language-models

Updated Sep 30, 2024
Python

liuyugeng / ML-Doctor

Code for ML Doctor

machine-learning knowledge-distillation differential-privacy model-inversion-attacks attribute-inference-attack membership-inference-attack model-stealing

Updated Aug 14, 2024
Python

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 forgetting data-deletion membership-inference-attack unlearning membership-inference data-removal

Updated Jun 28, 2026
Python

shrebox / Privacy-Attacks-in-Machine-Learning

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

pytorch attribute-inference-attack membership-inference-attack model-inversion-attack

Updated Oct 4, 2024
Python

zjysteven / mink-plus-plus

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

llama pythia mamba membership-inference-attack llm pretraining-data-detection iclr2025

Updated May 26, 2025
Python

MinChen00 / UnlearningLeaks

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

machine-learning machine-unlearning membership-inference-attack

Updated May 20, 2022
Python

AI-SDC / SACRO-ML

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

machine-learning privacy inference data-privacy data-protection differential-privacy statistical-disclosure-control attribute-inference-attack membership-inference-attack

Updated Sep 7, 2026
Python

yonsei-sslab / MIA

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

security machine-learning deep-learning pytorch membership-inference-attack

Updated Aug 29, 2022
Python

Koukyosyumei / Attack_SplitNN

reveal the vulnerabilities of SplitNN

privacy attack notebook paper security-vulnerability leakage model-inversion model-inversion-attacks split-learning membership-inference-attack splitnn membership-inference attack-splitnn

Updated Jun 16, 2022
Python

shilab / DP-MIA

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

machine-learning differential-privacy genomic-data-analysis membership-inference-attack genetic-privacy

Updated Aug 4, 2020
Python

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

machine-learning adversarial-attacks membership-inference-attack

Updated Mar 6, 2023
Python

trucndt / ami

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

machine-learning membership-inference-attack

Updated Feb 9, 2024
Python

yyy01 / PAC

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

nlp machine-learning ai-safety data-contamination membership-inference-attack large-language-models

Updated May 21, 2024
Python

Federated_XGBoost_Python

Jaap-Meerhof / Federated_XGBoost_Python

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

python xgboost gradient-boosting-classifier federated-learning gdbt-classifier membership-inference-attack

Updated Dec 13, 2023
Python

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