alewarne / MachineUnlearningLinks
Code related to the paper "Machine Unlearning of Features and Labels"
☆71Updated last year
Alternatives and similar repositories for MachineUnlearning
Users that are interested in MachineUnlearning are comparing it to the libraries listed below
Sorting:
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- Code for ML Doctor☆91Updated last year
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- ☆70Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Updated 8 months ago
- ☆45Updated 5 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆37Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆82Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆63Updated 10 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 7 months ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Updated 2 years ago
- ☆11Updated 10 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 3 years ago
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated last month
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 6 years ago
- ☆193Updated last year
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆15Updated 7 months ago
- Pytorch implementation of backdoor unlearning.☆21Updated 3 years ago
- ☆347Updated last month
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆18Updated last year
- ☆27Updated last year
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆40Updated 8 months ago
- ☆39Updated 4 years ago
- ☆54Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- ☆46Updated last year