ayushkumartarun / zero-shot-unlearningLinks
Official repo of the paper Zero-Shot Machine Unlearning accepted in IEEE Transactions on Information Forensics and Security
☆48Updated 2 years ago
Alternatives and similar repositories for zero-shot-unlearning
Users that are interested in zero-shot-unlearning are comparing it to the libraries listed below
Sorting:
- ☆37Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Official repo of the paper Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher accepted in AAAI …☆38Updated 2 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆108Updated last year
- [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetti…☆15Updated last year
- ☆50Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- Code implementation of the paper "Federated Unlearning: How to Efficiently Erase a Client in FL?" published at UpML (part of ICML 2022)☆45Updated 3 months ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆35Updated 3 years ago
- ☆72Updated 3 years ago
- ☆195Updated 2 years ago
- Repo on unlearning in FL. FYP22002@HKUCS.☆15Updated 2 years ago
- ☆59Updated 5 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- Code for ML Doctor☆92Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆80Updated last year
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆213Updated 7 months ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- An Empirical Study of Federated Unlearning: Efficiency and Effectiveness (Accepted Conference Track Papers at ACML 2023)☆18Updated 2 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆23Updated 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
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆27Updated 2 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- [CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks☆43Updated 2 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year