Billy1900 / BadNet
A simple PyTorch implementations of `Badnets: Identifying vulnerabilities in the machine learning model supply chain` on MNIST and CIFAR10.
☆9Updated 3 years ago
Alternatives and similar repositories for BadNet:
Users that are interested in BadNet are comparing it to the libraries listed below
- paper code☆23Updated 4 years ago
- ☆25Updated last year
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆21Updated 8 months ago
- Anti-Backdoor learning (NeurIPS 2021)☆82Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆53Updated 2 months ago
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆30Updated 5 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆69Updated last year
- ☆47Updated last year
- IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)☆33Updated last year
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆83Updated last year
- Simple PyTorch implementations of Badnets on MNIST and CIFAR10.☆169Updated 2 years ago
- ☆38Updated last year
- This is the source code for Data-free Backdoor. Our paper is accepted by the 32nd USENIX Security Symposium (USENIX Security 2023).☆31Updated last year
- The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”☆11Updated last year
- ☆38Updated 3 years ago
- ☆24Updated 3 years ago
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- 使用投毒posion的方式backdoor攻击LeNet-5网络,使用MNIST手写数据集☆13Updated 4 years ago
- ☆12Updated last year
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆54Updated 3 months ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆38Updated 2 months ago
- ☆26Updated last year
- [USENIX Security'24] Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning☆17Updated 3 months ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆93Updated 2 years ago
- verifying machine unlearning by backdooring☆20Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- Code for ML Doctor☆86Updated 6 months ago