PrivacyGuard platform for Privacy Attacks and Analysis. Perform privacy analyses of ML models using Inference Attacks and Extraction Attacks. PrivacyGuard library implements varied, SotA privacy attacks, along with tooling to analyze results. Please see the README and tutorials to get started!
☆36Aug 6, 2026Updated this week
Alternatives and similar repositories for PrivacyGuard
Users that are interested in PrivacyGuard are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- An unofficial pyotrch implementation of "ML-Leaks:Model and Data Independent Membership Inference Attacks and Defenses on ML Models"☆12Dec 23, 2023Updated 2 years ago
- Causal Reasoning for Membership Inference Attacks☆11Oct 21, 2022Updated 3 years ago
- ☆16Apr 4, 2024Updated 2 years ago
- ☆11Apr 19, 2016Updated 10 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆20Oct 28, 2025Updated 9 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆34Aug 29, 2022Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33May 18, 2021Updated 5 years ago
- ☆20Feb 22, 2023Updated 3 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Apr 4, 2023Updated 3 years ago
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- Scripts relating to decryption failures in PQCRYPTO schemes☆11Feb 22, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Membership inference against Federated learning.☆10May 30, 2021Updated 5 years ago
- ☆32Sep 2, 2024Updated last year
- Transformer based Trigram Blocking implementation in Tensorflow☆11Feb 26, 2020Updated 6 years ago
- ☆13Apr 12, 2022Updated 4 years ago
- ☆23Updated this week
- Code for paper: "Privately generating tabular data using language models".☆16Jun 13, 2023Updated 3 years ago
- Lint for privacy☆30Sep 5, 2022Updated 3 years ago
- Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference"☆19May 28, 2020Updated 6 years ago
- The core library of differential privacy algorithms powering the OpenDP Project.☆429Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆17Oct 14, 2025Updated 9 months ago
- ☆46Nov 10, 2019Updated 6 years ago
- LaTeX-style unicode input for Visual Studio Code☆11Mar 28, 2024Updated 2 years ago
- MRAugment: physics-aware data augmentation for deep learning based accelerated MRI reconstruction☆13Sep 20, 2024Updated last year
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆22Oct 8, 2024Updated last year
- ☆15Dec 9, 2020Updated 5 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60May 12, 2019Updated 7 years ago
- VDAF specification☆26Updated this week
- 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.
- Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆22May 3, 2022Updated 4 years ago
- ☆13Oct 20, 2022Updated 3 years ago
- SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using mem…☆19May 7, 2024Updated 2 years ago
- Byzantine model checker☆21Mar 7, 2023Updated 3 years ago
- dpmm: a library for synthetic tabular data generation with rich functionality and end-to-end Differential Privacy guarantees☆17May 4, 2026Updated 3 months ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning☆26Apr 14, 2023Updated 3 years ago