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
Sorting:
- ☆44Apr 25, 2023Updated 2 years ago
- ☆32Feb 10, 2022Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- ☆370Jan 4, 2026Updated 2 months ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated last year
- ☆10Dec 30, 2021Updated 4 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 4 years ago
- This is a python script to generate nice bibtex file for latex.☆18Mar 1, 2020Updated 6 years ago
- ☆25Nov 14, 2022Updated 3 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆700Apr 26, 2025Updated 10 months ago
- ☆19Mar 6, 2023Updated 2 years ago
- An awesome list of papers on privacy attacks against machine learning☆634Mar 18, 2024Updated last year
- ☆29Oct 27, 2023Updated 2 years ago
- This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning☆11Nov 24, 2023Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- ☆10Aug 19, 2023Updated 2 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- ☆25Apr 15, 2024Updated last year
- ☆22Sep 13, 2021Updated 4 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Feb 1, 2022Updated 4 years ago
- ☆15Apr 7, 2023Updated 2 years ago
- ☆14Apr 11, 2024Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Feb 18, 2021Updated 5 years ago
- ☆32Sep 2, 2024Updated last year
- ☆22Aug 15, 2022Updated 3 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆34Aug 29, 2022Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Nov 17, 2022Updated 3 years ago
- ☆20Oct 28, 2025Updated 4 months ago
- ☆14Apr 11, 2021Updated 4 years ago
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆203Aug 5, 2021Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆26Jun 24, 2022Updated 3 years ago
- ☆199Sep 22, 2023Updated 2 years ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆16Oct 14, 2024Updated last year
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆199Nov 15, 2017Updated 8 years ago
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆315Jul 25, 2024Updated last year
- competition☆17Aug 1, 2020Updated 5 years ago
- ☆17Sep 4, 2024Updated last year