dayu11 / Improved-DP-SGD
Improved DP-SGD for optimizing
☆17Updated 5 years ago
Alternatives and similar repositories for Improved-DP-SGD:
Users that are interested in Improved-DP-SGD are comparing it to the libraries listed below
- ☆38Updated 3 years ago
- ☆34Updated 3 years ago
- ☆13Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆58Updated 3 months ago
- ☆67Updated 2 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆104Updated 2 years ago
- reveal the vulnerabilities of SplitNN☆30Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆31Updated 3 years ago
- ☆54Updated last year
- ☆20Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆57Updated 5 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆20Updated 4 years ago
- Learning from history for Byzantine Robustness☆22Updated 3 years ago
- ☆41Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- ☆16Updated 2 years ago
- Local Differential Privacy for Federated Learning☆16Updated 2 years ago
- Code for ML Doctor☆86Updated 5 months ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆40Updated 9 months ago
- ☆14Updated last year