facebookresearch / bounding_data_reconstruction
Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".
☆11Updated last year
Alternatives and similar repositories for bounding_data_reconstruction:
Users that are interested in bounding_data_reconstruction are comparing it to the libraries listed below
- ☆17Updated 2 years ago
- ☆22Updated 2 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- ☆10Updated 2 years ago
- ☆10Updated last year
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆17Updated last year
- Defending Against Backdoor Attacks Using Robust Covariance Estimation☆21Updated 3 years ago
- Code for Auditing DPSGD☆38Updated 2 years ago
- ☆32Updated 4 months ago
- ☆11Updated 2 years ago
- ☆23Updated last year
- ☆13Updated last year
- ☆27Updated 2 years ago
- ☆24Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆19Updated 9 months ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 2 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆23Updated last week
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆22Updated 2 years ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆12Updated 3 years ago
- ☆13Updated 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
- Repository for Knowledge Enhanced Machine Learning Pipeline (KEMLP)☆10Updated 3 years ago
- ☆11Updated 2 years ago
- kyleliang919 / Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferabilitycode for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆17Updated 2 years ago
- Library for training globally-robust neural networks.☆28Updated last year
- [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?☆33Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Updated 3 years ago
- Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19☆35Updated 3 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆57Updated last year