cleverhans-lab / machine-unlearningLinks
☆196Updated 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:
- ☆363Updated 3 weeks ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- Code for ML Doctor☆91Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆67Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 3 months ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- ☆46Updated 6 years ago
- This repo implements several algorithms for learning with differential privacy.☆111Updated 2 years ago
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆20Updated last year
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 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)☆201Updated 8 years ago
- ☆49Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆209Updated 6 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆22Updated 3 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆35Updated 3 years ago
- ☆58Updated 5 years ago
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- ☆51Updated 4 years ago
- ☆70Updated 3 years ago
- ☆149Updated last year
- Breaching privacy in federated learning scenarios for vision and text☆307Updated 3 months ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆374Updated 2 years ago
- A library for running membership inference attacks against ML models☆152Updated 2 years ago
- A codebase that makes differentially private training of transformers easy.☆181Updated 2 years ago