ChrisWaites / descent-to-delete
Erasing data from machine learning models! ✏️
☆12Updated 4 years ago
Alternatives and similar repositories for descent-to-delete:
Users that are interested in descent-to-delete are comparing it to the libraries listed below
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 3 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- ☆45Updated 5 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- Pytorch implementation of backdoor unlearning.☆17Updated 2 years ago
- ☆15Updated last year
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- ☆80Updated 2 years ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆19Updated 2 years ago
- ☆12Updated 3 years ago
- Adversarial attacks and defenses against federated learning.☆17Updated last year
- The code for our Updates-Leak paper☆16Updated 4 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆14Updated last year
- ☆27Updated 2 years ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- Camouflage poisoning via machine unlearning☆17Updated 2 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Updated 3 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆28Updated 4 years ago
- ☆19Updated 6 months ago