Code for Auditing DPSGD
☆39Feb 15, 2022Updated 4 years ago
Alternatives and similar repositories for auditing-dpsgd
Users that are interested in auditing-dpsgd are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆32Sep 2, 2024Updated last year
- ☆27Dec 15, 2022Updated 3 years ago
- ☆16Apr 16, 2019Updated 6 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆703Apr 26, 2025Updated 11 months ago
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆135Dec 8, 2022Updated 3 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.
- ☆10Jun 1, 2022Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Jan 28, 2019Updated 7 years ago
- ☆46Nov 10, 2019Updated 6 years ago
- Source code for the VLDB 2021 paper.☆11May 19, 2021Updated 4 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 3 years ago
- ☆16Mar 30, 2023Updated 2 years ago
- ☆19Mar 6, 2023Updated 3 years ago
- ☆12Oct 2, 2023Updated 2 years ago
- ☆15Jun 5, 2023Updated 2 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.
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Apr 9, 2024Updated last year
- autodp: A flexible and easy-to-use package for differential privacy☆279Dec 5, 2023Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33May 18, 2021Updated 4 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆76Feb 15, 2024Updated 2 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆83Nov 22, 2021Updated 4 years ago
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆46Apr 22, 2022Updated 3 years ago
- ☆38Jun 21, 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 and start building anything your business needs.
- This technique modifies image data so that any model trained on it will bear an identifiable mark.☆44Aug 13, 2021Updated 4 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- code for model-targeted poisoning☆12Oct 3, 2023Updated 2 years ago
- ☆28Nov 28, 2023Updated 2 years ago
- IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".☆16Aug 14, 2020Updated 5 years ago
- An awesome list of papers on privacy attacks against machine learning☆633Mar 18, 2024Updated 2 years ago
- BrainProp: How the brain can implement reward-based error backpropagation☆17Dec 8, 2022Updated 3 years ago
- ☆80May 22, 2022Updated 3 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Feb 13, 2022Updated 4 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- Library for training machine learning models with privacy for training data☆2,003Updated this week
- ☆17Sep 9, 2020Updated 5 years ago
- ☆22Aug 15, 2022Updated 3 years ago
- A machine-learning-based tool for discovering differential privacy violations in black-box algorithms.☆23May 26, 2022Updated 3 years ago