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:
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Updated 5 years ago
- ☆45Updated 6 years ago
- ☆24Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated 11 months ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- ☆19Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- Camouflage poisoning via machine unlearning☆17Updated 4 months ago
- ☆19Updated 2 years ago
- ☆70Updated 3 years ago
- ☆26Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- ☆32Updated last year
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆14Updated 4 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 2 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆16Updated 3 years ago
- ☆26Updated 6 years ago
- ☆20Updated 2 weeks ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Updated 5 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆76Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- ☆55Updated 2 years ago