cleverhans-lab / machine-unlearningLinks
☆194Updated 2 years ago
Alternatives and similar repositories for machine-unlearning
Users that are interested in machine-unlearning are comparing it to the libraries listed below
Sorting:
- ☆357Updated 3 months ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆127Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Code for ML Doctor☆91Updated last year
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆207Updated 4 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆37Updated 4 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆64Updated last year
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆132Updated 2 months ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 7 years ago
- A library for running membership inference attacks against ML models☆150Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆70Updated 3 years ago
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆18Updated last year
- ☆47Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago
- ☆45Updated 5 years ago
- ☆149Updated last year
- ☆51Updated 4 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆160Updated 2 years ago
- ☆32Updated 4 years ago
- A codebase that makes differentially private training of transformers easy.☆176Updated 2 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆155Updated 4 years ago
- ☆75Updated 3 years ago
- ☆32Updated last year