lmgraves / AmnesiacML
Methods for removing learned data from neural nets and evaluation of those methods
☆36Updated 4 years ago
Alternatives and similar repositories for AmnesiacML:
Users that are interested in AmnesiacML are comparing it to the libraries listed below
- ☆56Updated 4 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆69Updated last year
- ☆16Updated 3 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆67Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆47Updated 2 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆49Updated 2 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆34Updated 7 months ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 3 years ago
- Camouflage poisoning via machine unlearning☆17Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 6 months ago
- ☆42Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 3 years ago
- ☆24Updated 3 years ago
- ☆44Updated 8 months ago
- ☆27Updated last year
- ☆19Updated 7 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆33Updated 2 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Updated 2 years ago
- Certified Removal from Machine Learning Models☆65Updated 3 years ago
- Code for "Label-Consistent Backdoor Attacks"☆55Updated 4 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆40Updated 3 months ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆25Updated 5 months ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆14Updated last month
- ☆28Updated 3 years ago
- Code for ML Doctor☆87Updated 8 months ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated last year
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Updated last week
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆58Updated 6 months ago
- ☆68Updated 2 years ago