Model extraction attacks on Machine-Learning-as-a-Service platforms.
☆357Nov 22, 2020Updated 5 years ago
Alternatives and similar repositories for Steal-ML
Users that are interested in Steal-ML are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆77Apr 1, 2024Updated 2 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆115Dec 8, 2022Updated 3 years ago
- Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)☆22Nov 14, 2020Updated 5 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Nov 4, 2020Updated 5 years ago
- Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.☆36Mar 20, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆202Nov 15, 2017Updated 8 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆38Feb 19, 2022Updated 4 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆31Oct 10, 2022Updated 3 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆31Dec 12, 2021Updated 4 years ago
- ☆57Mar 16, 2021Updated 5 years ago
- Black-Box Ripper: Copying black-box models using generative evolutionary algorithms - NIPS 2020 - Official Implementation☆29Oct 25, 2020Updated 5 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 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
- Copycat CNN☆28Apr 17, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆104Nov 2, 2019Updated 6 years ago
- An adversarial example library for constructing attacks, building defenses, and benchmarking both☆6,448Apr 10, 2024Updated 2 years ago
- An awesome list of papers on privacy attacks against machine learning☆640Mar 18, 2024Updated 2 years ago
- A novel data-free model stealing method based on GAN☆133Oct 11, 2022Updated 3 years ago
- Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware☆175Mar 25, 2023Updated 3 years ago
- icml24☆14Feb 24, 2025Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆86Nov 22, 2021Updated 4 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆720Apr 26, 2025Updated last year
- ☆42Dec 8, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- Code for ML Doctor☆92Aug 14, 2024Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Oct 17, 2018Updated 7 years ago
- ☆30May 8, 2023Updated 3 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Oct 15, 2017Updated 8 years ago
- A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX☆2,971Dec 3, 2025Updated 7 months ago
- Caffe code for the paper "Adversarial Manipulation of Deep Representations"☆17Nov 6, 2017Updated 8 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Jan 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.
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆180Oct 4, 2021Updated 4 years ago
- ☆24Dec 15, 2018Updated 7 years ago
- [EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP☆13Aug 17, 2023Updated 2 years ago
- ☆46Feb 13, 2026Updated 5 months ago
- Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆22May 3, 2022Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- Ensemble Adversarial Training on MNIST☆122Jun 20, 2017Updated 9 years ago