google-research / cryptanalytic-model-extractionLinks
☆55Updated 4 years ago
Alternatives and similar repositories for cryptanalytic-model-extraction
Users that are interested in cryptanalytic-model-extraction are comparing it to the libraries listed below
Sorting:
- CaPC is a method that enables collaborating parties to improve their own local heterogeneous machine learning models in a setting where b…☆26Updated 3 years ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Updated 3 years ago
- ☆80Updated 3 years ago
- A library for running membership inference attacks against ML models☆152Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- ☆66Updated 6 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 6 years ago
- Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010☆62Updated 5 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.☆63Updated 7 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- ☆46Updated 6 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Updated 7 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- Code for ML Doctor☆91Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆278Updated 2 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆75Updated last year
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 8 years ago
- ☆32Updated last year
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆24Updated 3 years ago
- Privacy attacks on Split Learning☆42Updated 4 years ago
- ☆34Updated 2 years ago
- ☆22Updated 3 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆48Updated 5 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- ☆51Updated 4 years ago