Membership Inference Attacks ML Frameworks

Tools and implementations for detecting whether specific data points were used in model training, including attack methods, defenses, and privacy analysis frameworks. Does NOT include general privacy-preserving ML, differential privacy libraries, or other data poisoning/adversarial attacks.

There are 45 membership inference attacks frameworks tracked. 2 score above 50 (established tier). The highest-rated is google/scaaml at 68/100 with 193 stars and 122 monthly downloads.

Get all 45 projects as JSON

curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=membership-inference-attacks&limit=20"

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#	Framework	Score	Tier	Stars	Language
1	google/scaaml SCAAML: Side Channel Attacks Assisted with Machine Learning	68	Established	193	Python
2	Koukyosyumei/AIJack Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)	50	Established	422	C++
3	pralab/secml A Python library for Secure and Explainable Machine Learning	47	Emerging	191	Jupyter Notebook
4	AI-SDC/SACRO-ML Collection of tools and resources for managing the statistical disclosure...	46	Emerging	34	Python
5	oss-slu/mithridatium Mithridatium is a research-driven project aimed at detecting backdoors and...	39	Emerging	3	Python
6	matteonerini/pin-side-channel-attacks Machine Learning for PIN Side-Channel Attacks Based on Smartphone Motion Sensors	38	Emerging	5	Jupyter Notebook
7	liuyugeng/ML-Doctor Code for ML Doctor	38	Emerging	92	Python
8	ArtLabss/open-data-anonymizer Python Data Anonymization & Masking Library For Data Science Tasks	36	Emerging	298	Python
9	microsoft/responsible-ai-toolbox-privacy A library for statistically estimating the privacy of ML pipelines from...	35	Emerging	37	Python
10	yonsei-sslab/MIA 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against...	33	Emerging	34	Python
11	stratosphereips/awesome-ml-privacy-attacks An awesome list of papers on privacy attacks against machine learning	32	Emerging	633	—
12	zhoumingyi/ModelObfuscator Code for our paper "Modelobfuscator: Obfuscating Model Information to...	31	Emerging	19	C++
13	YujiaBao/ls Learning to Split for Automatic Bias Detection	30	Emerging	47	Python
14	brian-lou/Training-Data-Extraction-Attack-on-LLMs This project explores training data extraction attacks on the LLaMa 7B,...	30	Emerging	15	Python
15	MinChen00/UnlearningLeaks Official implementation of "When Machine Unlearning Jeopardizes Privacy"...	29	Experimental	50	Python
16	allensll/Awesome-Crypto-DNN List of papers on cryptography assisted deep learning privacy computation	28	Experimental	17	—
17	mmalekzadeh/honest-but-curious-nets Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be...	28	Experimental	17	Python
18	gnekt/Pirates-of-the-RAG Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases	27	Experimental	5	Python
19	dahmansphi/attackai Test tool to simulate two types of poisoning attack on AI model	24	Experimental	4	Python
20	MichaelTJC96/Label_Flipping_Attack The project aims to evaluate the vulnerability of Federated Learning systems...	23	Experimental	22	Python
21	dahmansphi/protectai Test tool to simulate defense from poisoning attack on AI model	23	Experimental	2	Python
22	najeebjebreel/lira_analysis Revisiting the LiRA Membership Inference Attack Under Realistic Assumptions	23	Experimental	1	Python
23	FRANCYZXZ/Federated-Learning-Security-Backdoor-Attacks-Gradient-Inversion-Unlearning A comprehensive framework simulating integrity (Backdoor) and privacy...	23	Experimental	1	Python
24	FRANCYZXZ/federated-backdoor-mitigation A comprehensive framework simulating integrity (Backdoor) and privacy...	23	Experimental	1	Python
25	ibhushani/amnesia 🧠 Enterprise-grade Machine Unlearning architecture. Surgically erases data...	22	Experimental	3	Python
26	Abhishek-yadav04/AgisFL AgisFL is a cutting-edge, production-ready cybersecurity platform that...	22	Experimental	—	Python
27	karthik7129/FL-IoT-Threat_detection This is the end to end Federated learning pipeline for Iot threat detection	22	Experimental	2	Jupyter Notebook
28	yangarbiter/dp-dg What You See is What You Get: Distributional Generalization for Algorithm...	22	Experimental	7	Jupyter Notebook
29	davidemodolo/malicious_finetuning Proof of concept demonstrating backdoor injection into fine-tuned LLMs using...	22	Experimental	—	Python
30	davidemodolo/malicious_llm_finetuning Proof of concept demonstrating backdoor injection into fine-tuned LLMs using...	22	Experimental	—	Python
31	X1aoyangXu/FORA Official code of the paper "A Stealthy Wrongdoer: Feature-Oriented...	21	Experimental	15	Python
32	VissaMoutafis/Membership-Inference-Research Bachelor's Thesis on Membership Inference Attacks	21	Experimental	11	Jupyter Notebook
33	ege-erdogan/unsplit Supplementary code for the paper "UnSplit: Data-Oblivious Model Inversion,...	20	Experimental	14	Python
34	trucndt/ami Codebase for Active Membership Inference Attack under Local Differential...	17	Experimental	12	Python
35	Pilladian/ml-attack-framework Universität des Saarlandes - Privacy Enhancing Technologies 2021 - Semester Project	17	Experimental	5	—
36	Jiaqi0602/adversarial-attack-from-leakage From Gradient Leakage to Adversarial Attacks in Federated Learning	16	Experimental	16	Jupyter Notebook
37	DoktorC/double-strike-host2026 Official repository of the paper "Double Strike: Breaking...	15	Experimental	—	C
38	ljvmiranda921/vs-split A Python library for creating adversarial splits	14	Experimental	14	Python
39	VirajM723/MachineUnlearning Machine unlearning using SISA training to efficiently remove data points...	14	Experimental	—	Jupyter Notebook
40	hardware-fab/Hound Hound: Locating Cryptographic Primitives in Desynchronized Side-Channel...	13	Experimental	5	Python
41	hardware-fab/DLaTA A Deep Learning-assisted Template Attack Against Dynamic Frequency Scaling...	13	Experimental	5	Python
42	dAI-SY-Group/PRECODE Source code and demonstration for our paper "PRECODE - A Generic Model...	13	Experimental	10	Jupyter Notebook
43	gongzhimin/Copyright-Protection-Studies-in-Deep-Learning A repository about literature of copyright protection in deep learning.	12	Experimental	3	—
44	AmanPriyanshu/The-Unlearning-Protocol Choose which data to make your model forget (Unlearn!), but watch out -...	11	Experimental	2	HTML
45	Axelboutie/Deep-Learning-for-Side-Channels-Attacks This repository provides a model of convutionnal neural network or a MLP to...	11	Experimental	—	Rust