csl-cqu / awesome-secure-federated-learning-papersLinks
☆28Updated 2 years ago
Alternatives and similar repositories for awesome-secure-federated-learning-papers
Users that are interested in awesome-secure-federated-learning-papers are comparing it to the libraries listed below
Sorting:
- Code for ML Doctor☆92Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- ☆46Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- FLTracer: Accurate Poisoning Attack Provenance in Federated Learning☆24Updated last year
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.☆87Updated 2 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 4 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆165Updated 4 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Privacy attacks on Split Learning☆43Updated 4 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 7 years ago
- ☆55Updated 2 years ago
- ☆46Updated 2 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆51Updated 3 years ago
- Learning from history for Byzantine Robustness☆25Updated 4 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆73Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- ☆68Updated 5 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- Code release for DeepJudge (S&P'22)☆52Updated 2 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- ☆51Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆75Updated last year
- AdvDoor: Adversarial Backdoor Attack of Deep Learning System☆32Updated last year
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Updated 8 years ago
- A paper summary of Backdoor Attack against Neural Network☆13Updated 6 years ago
- ☆49Updated 5 years ago