microsoft / MICOLinks
Membership Inference Competition
☆31Updated 2 years ago
Alternatives and similar repositories for MICO
Users that are interested in MICO are comparing it to the libraries listed below
Sorting:
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆129Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 3 months ago
- ☆80Updated 3 years ago
- Differentially-private transformers using HuggingFace and Opacus☆143Updated last year
- Code for ML Doctor☆91Updated 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
- ☆19Updated 2 years ago
- A library for running membership inference attacks against ML models☆152Updated 2 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Algorithms for Privacy-Preserving Machine Learning in JAX☆123Updated this week
- ☆32Updated last year
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- ☆45Updated 6 years ago
- ☆195Updated 2 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆65Updated last year
- A codebase that makes differentially private training of transformers easy.☆177Updated 2 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆35Updated 3 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago
- ☆24Updated 3 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆201Updated 8 years ago
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆74Updated last year
- This repo implements several algorithms for learning with differential privacy.☆110Updated 2 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆33Updated 4 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
- A unified benchmark problem for data poisoning attacks☆160Updated 2 years ago