Code for ML Doctor
☆92Aug 14, 2024Updated last year
Alternatives and similar repositories for ML-Doctor
Users that are interested in ML-Doctor are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆44Apr 25, 2023Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- ☆10Dec 30, 2021Updated 4 years ago
- ☆31Feb 10, 2022Updated 4 years ago
- ☆373Apr 8, 2026Updated 3 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This is a python script to generate nice bibtex file for latex.☆19Mar 1, 2020Updated 6 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆721Apr 26, 2025Updated last year
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 7 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 5 years ago
- An awesome list of papers on privacy attacks against machine learning☆640Mar 18, 2024Updated 2 years ago
- ☆25Nov 14, 2022Updated 3 years ago
- ☆32Sep 2, 2024Updated last year
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 3 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.
- ☆19Mar 6, 2023Updated 3 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- ☆30Oct 27, 2023Updated 2 years ago
- ☆23Aug 15, 2022Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Nov 17, 2022Updated 3 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆29Feb 1, 2022Updated 4 years ago
- ☆14Apr 11, 2021Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆47Nov 25, 2019Updated 6 years ago
- ☆14Apr 11, 2024Updated 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.
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆34Aug 29, 2022Updated 3 years ago
- ☆15Apr 7, 2023Updated 3 years ago
- Causal Reasoning for Membership Inference Attacks☆11Oct 21, 2022Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 4 years ago
- ☆22Sep 13, 2021Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Feb 18, 2021Updated 5 years ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆16Oct 14, 2024Updated last year
- ☆20Oct 28, 2025Updated 8 months 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.
- Official code for the paper "Membership Inference Attacks Against Recommender Systems" (ACM CCS 2021)☆22Oct 8, 2024Updated last year
- ☆202Sep 22, 2023Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆32Dec 2, 2023Updated 2 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆86Nov 22, 2021Updated 4 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Mar 24, 2023Updated 3 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆202Nov 15, 2017Updated 8 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆177Jul 5, 2024Updated 2 years ago