NISPLab / CleanSheet
Code and full version of the paper "Hijacking Attacks against Neural Network by Analyzing Training Data"
☆10Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for CleanSheet
- ☆16Updated last year
- ☆12Updated 5 months ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆32Updated last month
- ☆22Updated last year
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆33Updated last year
- ☆11Updated 11 months ago
- Backdoor detection in Federated learning with similarity measurement☆20Updated 2 years ago
- ☆65Updated 2 years ago
- Membership inference against Federated learning.☆8Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆44Updated last year
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 2 years ago
- Multi-metrics adaptively identifies backdoors in Federated learning☆22Updated 11 months ago
- ☆22Updated 9 months ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆30Updated 2 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆63Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- Code for ML Doctor☆86Updated 3 months ago
- Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"☆17Updated 6 months ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- ☆23Updated 3 years ago
- ☆45Updated last year
- ☆53Updated last year
- [NeurIPS 2021] Source code for the paper "Qu-ANTI-zation: Exploiting Neural Network Quantization for Achieving Adversarial Outcomes"☆13Updated 3 years ago
- verifying machine unlearning by backdooring☆18Updated last year
- ☆11Updated last year
- Code for Backdoor Attacks Against Dataset Distillation☆30Updated last year
- [Usenix Security 2024] Official code implementation of "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federa…☆27Updated last month
- ☆38Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago