fmy266 / Pytorch-Backdoor-UnlearningLinks
Pytorch implementation of backdoor unlearning.
☆21Updated 3 years ago
Alternatives and similar repositories for Pytorch-Backdoor-Unlearning
Users that are interested in Pytorch-Backdoor-Unlearning are comparing it to the libraries listed below
Sorting:
- ☆19Updated 2 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 3 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆32Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- ☆19Updated 11 months ago
- Camouflage poisoning via machine unlearning☆17Updated last month
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Updated 8 months ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- ☆70Updated 3 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- ☆22Updated 3 years ago
- ☆20Updated last year
- [NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"☆15Updated 3 years ago
- ☆48Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆82Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆45Updated 5 years ago
- Code for "Label-Consistent Backdoor Attacks"☆58Updated 4 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆13Updated 4 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- ☆24Updated 2 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 3 years ago
- ☆19Updated 3 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Updated 5 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago