alewarne / MachineUnlearningLinks
Code related to the paper "Machine Unlearning of Features and Labels"
☆72Updated 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)☆50Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated last year
- ☆70Updated 3 years ago
- Code for ML Doctor☆92Updated last year
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆67Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆43Updated 3 months ago
- ☆46Updated 6 years ago
- ☆30Updated 2 years ago
- Pytorch implementation of backdoor unlearning.☆21Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆55Updated 2 years ago
- ☆196Updated 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
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆78Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- ☆367Updated last month
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆49Updated last year
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆41Updated 2 years ago
- ☆26Updated 4 years ago
- ☆21Updated last year
- ☆36Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Updated 2 years ago