dayu11 / Gradient-Embedding-PerturbationLinks
☆27Updated 2 years ago
Alternatives and similar repositories for Gradient-Embedding-Perturbation
Users that are interested in Gradient-Embedding-Perturbation are comparing it to the libraries listed below
Sorting:
- ☆22Updated 2 years ago
- ☆10Updated 3 years ago
- ☆15Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆36Updated 2 years ago
- ☆19Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆107Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- ☆14Updated last year
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆56Updated 2 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- ☆10Updated 3 years ago
- ☆31Updated 9 months ago
- ☆20Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 10 months ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 4 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 4 years ago
- simple Differential Privacy in PyTorch☆48Updated 5 years ago
- ☆80Updated 3 years ago
- ☆30Updated 3 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Updated 5 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆37Updated 6 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆15Updated 3 months ago
- ☆18Updated 3 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- ☆12Updated 3 years ago
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- ☆26Updated 6 years ago