☆23Aug 15, 2022Updated 3 years ago
Alternatives and similar repositories for BlindMI
Users that are interested in BlindMI are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆46Nov 10, 2019Updated 6 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 4 years ago
- A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge☆12Jun 21, 2021Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Processed datasets that we have used in our research☆15Apr 30, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Apr 9, 2024Updated last year
- ☆19Mar 6, 2023Updated 3 years ago
- ☆20Oct 28, 2025Updated 5 months ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆83Nov 22, 2021Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆34Oct 11, 2024Updated last year
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆49Dec 17, 2019Updated 6 years ago
- Membership Inference Attack against Graph Neural Networks☆12Nov 9, 2022Updated 3 years ago
- ☆32Sep 2, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data☆19Aug 4, 2020Updated 5 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆703Apr 26, 2025Updated 11 months ago
- ☆20Feb 22, 2023Updated 3 years ago
- ☆22Sep 17, 2024Updated last year
- This is the code of our work CISS Certified Robustness Against Natural Language Attacks by Causal Intervention published on ICML 2022☆11Dec 6, 2022Updated 3 years ago
- Code for ML Doctor☆91Aug 14, 2024Updated last year
- ☆46Aug 4, 2023Updated 2 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Dec 8, 2022Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Jan 28, 2019Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- ☆25Jan 20, 2019Updated 7 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆46Apr 22, 2022Updated 3 years ago
- CADD: A Large-scale Comprehensive Abusiveness Detection Dataset with Multifaceted Labels from Reddit☆12Sep 28, 2022Updated 3 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- Adversarial attack on a CNN trained on MNIST dataset using Targeted I-FGSM and Targeted MI-FGM☆11Feb 17, 2018Updated 8 years ago
- paper code☆28Oct 5, 2020Updated 5 years ago
- ☆21Sep 21, 2021Updated 4 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Feb 26, 2023Updated 3 years ago
- Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020☆18Nov 11, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- An awesome list of papers on privacy attacks against machine learning☆633Mar 18, 2024Updated 2 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Oct 15, 2017Updated 8 years ago
- ☆10Jun 5, 2021Updated 4 years ago
- ☆10Jan 13, 2026Updated 2 months ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆17Oct 8, 2024Updated last year
- ☆12Sep 26, 2024Updated last year