Privacy Testing for Deep Learning
☆213Sep 5, 2025Updated 9 months ago
Alternatives and similar repositories for PrivacyRaven
Users that are interested in PrivacyRaven are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An awesome list of papers on privacy attacks against machine learning☆639Mar 18, 2024Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆719Apr 26, 2025Updated last year
- a CLI that provides a generic automation layer for assessing the security of ML models☆922Jul 18, 2025Updated 11 months ago
- News in Privacy-Preserving Machine Learning☆12Feb 5, 2020Updated 6 years ago
- Python language bindings for smartnoise-core.☆76Mar 13, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Fork of the differential privacy module of TF/models/research☆14Oct 9, 2019Updated 6 years ago
- Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.☆36Mar 20, 2019Updated 7 years ago
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆27Oct 31, 2022Updated 3 years ago
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Nov 16, 2016Updated 9 years ago
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆18May 31, 2023Updated 3 years ago
- Training PyTorch models with differential privacy☆1,936Jun 14, 2026Updated 2 weeks ago
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆22Oct 8, 2024Updated last year
- ☆22Jan 5, 2023Updated 3 years ago
- ☆46Nov 10, 2019Updated 6 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.
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- ☆23Sep 17, 2024Updated last year
- A library for running membership inference attacks against ML models☆150Dec 8, 2022Updated 3 years ago
- The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy☆548May 11, 2026Updated last month
- The Python Version of our Not Go-ing Anywhere Vulnerable Application☆11Jan 11, 2024Updated 2 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- Differential privacy implementation in the Java family of languages (Java, Kotlin, Scala etc...)☆11Aug 31, 2020Updated 5 years ago
- ☆373Apr 8, 2026Updated 2 months ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Nov 4, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆77Apr 1, 2024Updated 2 years ago
- ☆26Mar 24, 2023Updated 3 years ago
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆12Jun 16, 2023Updated 3 years ago
- ☆32Sep 2, 2024Updated last year
- ☆10Dec 4, 2020Updated 5 years ago
- Privacy-Preserving Data Analysis using Pandas☆24Oct 16, 2021Updated 4 years ago
- A privacy preserving NLP framework☆198May 14, 2023Updated 3 years ago
- Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and…☆6,069Dec 12, 2025Updated 6 months ago
- A curated list of resources for privacy-preserving machine learning☆149Oct 19, 2021Updated 4 years ago
- AI Agents on 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.
- A collection of implementations of fair ML algorithms☆12Jan 7, 2018Updated 8 years ago
- Library for training machine learning models with privacy for training data☆2,014May 11, 2026Updated last month
- Everything you need to know to contribute to OpenMined!☆217Jan 21, 2024Updated 2 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Adversarial Machine Learning (AML) Capture the Flag (CTF)☆116Mar 14, 2024Updated 2 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