inspire-group / unlearning-verification
verifying machine unlearning by backdooring
☆20Updated 2 years ago
Alternatives and similar repositories for unlearning-verification:
Users that are interested in unlearning-verification are comparing it to the libraries listed below
- ☆19Updated 6 months ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 3 years ago
- Pytorch implementation of backdoor unlearning.☆17Updated 2 years ago
- ☆19Updated 2 years ago
- ☆10Updated 4 years ago
- ☆24Updated 3 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆18Updated last year
- ☆31Updated 7 months ago
- KNN Defense Against Clean Label Poisoning Attacks☆12Updated 3 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆11Updated 3 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- ☆12Updated 3 years ago
- [NDSS 2025] CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling☆11Updated 2 months ago
- ☆11Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- ☆45Updated 5 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆12Updated 2 years ago
- ☆19Updated 3 years ago
- Camouflage poisoning via machine unlearning☆17Updated 2 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆34Updated 5 months ago
- Membership inference against Federated learning.☆9Updated 3 years ago
- ☆23Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- ☆54Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆32Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated last year
- ☆69Updated 2 years ago