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datasec-lab / RuliRectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
RPI-DSPlab / Mia DisparityThis repository contains the source code for "Membership Inference Attacks as Privacy Tools: Reliability, Disparity and Ensemble", In Proceedings of ACM CCS 2025.
rezafotohi / FedAnilFedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.
StavC / UnleashingWorms ExtractingDataUnleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking
RayTzeng / S3m Membership InferenceOfficial implementation of "Membership Inference Attacks Against Self-supervised Speech Models"
hammlab / MinimaxFilterA learning approach to privacy preservation against inference attacks
rzshokri / Optimal Location PrivacyThe linear programs to obtain the optimal obfuscation mechanism to protect location privacy against adaptive inference attacks
icmpnorequest / MLSecAn implementation of data poisoning attack and membership inference attack in Pytorch
yigitcankaya / Augmentation MiaThe source code for ICML2021 paper When Does Data Augmentation Help With Membership Inference Attacks?
yechanp / Membership Inference Attacks Against Object Detection ModelsNo description available
jinpz / Label Differential PrivacyOfficial code for Does Label Differential Privacy Prevent Label Inference Attacks? (AISTATS 2023)
SAP-archive / Security Research Membership Inference Against Generative NetworksSAP Security Research sample code to reproduce the research done in our paper "Monte Carlo and Reconstruction Membership Inference Attacks against Generative Models" at PoPETS 2019.
aneezJaheez / MIAA torch-based implementation of the Membership Inference Attack described in the paper : https://arxiv.org/abs/1610.05820
AIPAG / SeqMIAThis is the official repository for the ACM CCS 2024 paper "SeqMIA: Sequential-Metric Based Membership Inference Attack" by Hao Li, Zheng Li, Siyuan Wu, Chengrui Hu, Yutong Ye, Min Zhang, Dengguo Feng, and Yang Zhang.
AIPAG / DHAttackThis is the repository for the USENIX Security'25 paper "Enhanced Label-Only Membership Inference Attacks with Fewer Queries" by Hao Li, Zheng Li, Siyuan Wu, Yutong Ye, Min Zhang, Dengguo Feng, and Yang Zhang.
pigrange / Off Path Attack计算机系统与网络安全作业，基于论文Off-Path TCP Sequence Number Inference Attack，建立的TCP通信模型，用于模拟攻击场景
icmpnorequest / Attribute Inference Attack Paper ReadingPaper list of attribute inference attack
JeffffffFu / PGRSafeguarding Graph Neural Networks against Topology Inference Attacks (ACM CCS' 2025)
seclab-yonsei / Mia Ko LmPerforming membership inference attack (MIA) against Korean language models (LMs).
Nikkei / Fast MiaA framework designed to streamline the evaluation of Membership Inference Attacks (MIA) against Large Language Models (LLMs). By leveraging vLLM, it enables fast and flexible execution and assessment of various representative MIA techniques.
