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Machine-Learning-Security-Lab / Mia PruneMembership Inference Attacks and Defenses in Neural Network Pruning
YukeHu / Vlm MiaCode for paper "Membership Inference Attacks Against Vision-Language Models"
DennisLiu2022 / Membership Inference Attacks By Exploiting Loss TrajectoryNo description available
LiQiiiii / Vid SME[NeurIPS‘25] Vid-SME: Membership Inference Attacks against Large Video Understanding Models
reds-lab / CLIP MIAThis is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023).
abogdanova / FL MIAFederated Learning and Membership Inference Attacks experiments on CIFAR10
aashaka / Geo Inference AttacksNo description available
minxingzhang / MIARSOfficial code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)
T0hsakar1n / RAPIDSource code and scripts for the paper "Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks"
KaiyuanZh / SOFT[USENIX Security 2025] SOFT: Selective Data Obfuscation for Protecting LLM Fine-tuning against Membership Inference Attacks
SAP-archive / Security Research Membership Inference And Differential PrivacySAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using membership inference attacks".
epfl-dlab / Property Inference AttacksModular framework for property inference attacks on deep neural networks
ChuksXD / VANET BlockchainA trust inference model on the hyperledger that is attack proof for communication in ephemeral networks such as vehicular adhoc networks (VANET).
mengtong0110 / Tokenizer MIA[USENIX Security 2026] Membership Inference Attacks on Tokenizers of Large Language Models
inspire-group / MIAdefenseSELENA[USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
facebookresearch / Calibration MembershipPublic implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".
kong13661 / PIAOfficial repo for An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
ege-erdogan / UnsplitSupplementary code for the paper "UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning".
parameterlab / Mia ScalingSource code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"
trucndt / AmiCodebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning
