dayu11 / Gradient-Embedding-Perturbation
☆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
- ☆10Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆35Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆22Updated 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
- ☆10Updated 2 years ago
- ☆14Updated last year
- This repo implements several algorithms for learning with differential privacy.☆106Updated 2 years ago
- ☆80Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- Learning rate adaptation for differentially private stochastic gradient descent☆16Updated 3 years ago
- ☆14Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- simple Differential Privacy in PyTorch☆48Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- ☆31Updated 6 months ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- ☆19Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆34Updated 3 years ago
- ☆26Updated 6 years ago
- ☆12Updated 3 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- ☆24Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 3 years ago
- ☆24Updated 2 years ago