vikram2000b / Fast-Machine-Unlearning
☆30Updated 3 years ago
Alternatives and similar repositories for Fast-Machine-Unlearning:
Users that are interested in Fast-Machine-Unlearning are comparing it to the libraries listed below
- Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security☆38Updated last year
- ☆43Updated 6 months ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Camouflage poisoning via machine unlearning☆16Updated 2 years ago
- ☆56Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Official repo of the paper Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher accepted in AAAI …☆32Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆66Updated 11 months ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 2 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆35Updated 4 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Updated 3 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆68Updated last year
- Adversarial attacks and defenses against federated learning.☆15Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- Certified Removal from Machine Learning Models☆64Updated 3 years ago
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆16Updated last year
- ☆11Updated last year
- [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetti…☆14Updated 6 months ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆34Updated 2 years ago
- ☆54Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆54Updated last year
- ☆34Updated 3 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆32Updated last year
- ☆68Updated 2 years ago
- ☆180Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Updated 2 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆35Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆52Updated 2 months ago