lamp
by eth-sri
LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)
AI summary
Gradient extraction toolkit
This is a research project that extracts text from gradients with language model priors using deep learning techniques.
- stars
- 23
- forks
- 6
- watching
- 7
Similar projects
Found by comparing what the projects do, not just their names.
Attribution tool
A PyTorch implementation of attributing the impact of inputs on deep neural network outputs
Deep learning toolkit
Provides a toolbox of components to extend PyTorch Lightning for deep learning research and production
Gradient leakage fix
This project presents an improved method to extract accurate private training data from publicly shared gradients in distributed learning systems.
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Memory optimizer for deep learning models
A lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution
Computer Vision Toolkit
A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision.
Gradient inversion vulnerability fix
An implementation of a method to invert gradients in federated learning to potentially reveal sensitive client data
Gradient optimizer library
A gradient processing and optimization library designed to facilitate research and productivity in machine learning by providing building blocks for custom optimizers and gradient processing components.
Gradient smoothing
PyTorch implementation of a technique to improve the interpretability of deep learning models by adding noise to the gradients
Sentence embedding toolkit
A tool for training and evaluating sentence embeddings using deep contrastive learning
Gradient-based recovery
Recovery method for Federated Learning datasets using gradients to estimate instance-wise batch label restoration
Image segmentation tool
A system that uses large language models to generate segmentation masks for images based on complex queries and world knowledge.
Batching library
A PyTorch module for dynamic batching and optimized computation on deep neural networks
Segmentation toolkit
A PyTorch-based toolbox for building and training semantic segmentation models
Data pipeline builder
A tool that enables data analysts to create and manage data pipelines with an intuitive interface, generating Python code for deployment anywhere.
