trailofbits / PrivacyRaven
Privacy Testing for Deep Learning
☆189Updated last year
Related projects ⓘ
Alternatives and complementary repositories for PrivacyRaven
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆603Updated this week
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆198Updated this week
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆99Updated 5 years ago
- An awesome list of papers on privacy attacks against machine learning☆558Updated 7 months ago
- ☆120Updated 2 years ago
- A library for running membership inference attacks against ML models☆137Updated last year
- A Python library for Secure and Explainable Machine Learning☆152Updated 5 months ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆74Updated last year
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 6 years ago
- UCLANesl - NIST Differential Privacy Challenge (Match 3)☆23Updated 5 years ago
- ☆42Updated 3 years ago
- Copycat CNN☆26Updated 6 months ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆122Updated 7 months ago
- ARMORY Adversarial Robustness Evaluation Test Bed☆176Updated 9 months ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆129Updated last year
- ☆140Updated last month
- Code for ML Doctor☆86Updated 2 months ago
- A curated list of academic events on AI Security & Privacy☆135Updated 2 months ago
- ☆83Updated 11 months ago
- Differentially Private Optimization for PyTorch 👁🙅♀️☆184Updated 4 years ago
- ☆39Updated last year
- A toolbox for differentially private data generation☆129Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆265Updated 11 months ago
- Code for Auditing DPSGD☆35Updated 2 years ago
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…☆26Updated 2 years ago
- ☆38Updated 2 years ago
- Statistical Counterexample Detector for Differential Privacy☆28Updated 7 months ago
- A curated list of resources for privacy-preserving machine learning☆147Updated 3 years ago
- list of differential-privacy related resources☆295Updated last week
- A SMPC companion library for Syft☆99Updated this week