dayu11 / Improved-DP-SGDLinks
Improved DP-SGD for optimizing
☆20Updated 6 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
Sorting:
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆67Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆163Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆201Updated 8 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆43Updated last year
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- ☆51Updated 4 years ago
- ☆70Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- ☆46Updated 6 years ago
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 4 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- Privacy attacks on Split Learning☆42Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- ☆26Updated 6 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 5 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- ☆36Updated 3 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆47Updated 6 years ago
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆46Updated 4 years ago
- ☆38Updated 4 years ago