dayu11 / Improved-DP-SGD
Improved DP-SGD for optimizing
☆16Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Improved-DP-SGD
- reveal the vulnerabilities of SplitNN☆30Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆56Updated last month
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆31Updated 3 years ago
- Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enfo…☆41Updated 7 months ago
- [NeurIPS 2021] "G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators" by Yunhui Long*…☆30Updated 3 years ago
- ☆39Updated 3 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 2 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆46Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- ☆53Updated last year
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆37Updated 2 years ago
- ☆15Updated 2 years ago
- ☆13Updated last year
- ☆23Updated 3 years ago
- ☆34Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆102Updated last year
- Privacy attacks on Split Learning☆37Updated 3 years ago
- Code for ML Doctor☆86Updated 3 months ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- ☆45Updated 5 years ago
- ☆19Updated last year
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Learning from history for Byzantine Robustness☆21Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆66Updated last month
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆30Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆46Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆25Updated 5 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆52Updated 5 years ago