breaching
ml-model-watermarking
| breaching | ml-model-watermarking | |
|---|---|---|
| 1 | 3 | |
| 242 | 76 | |
| - | - | |
| 0.0 | 0.0 | |
| 17 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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breaching
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[P] Here's our new framework for Privacy Attacks in Federated Learning
We recently uploaded our framework for privacy attacks in federated learning. You can find it here: https://github.com/JonasGeiping/breaching. We include a sizable number of known attacks for deep neural networks in vision and text domains and some new ones.
ml-model-watermarking
What are some alternatives?
FederatedScope - An easy-to-use federated learning platform
TrojanNet
FATE - An Industrial Grade Federated Learning Framework
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]
TextAttack - TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.
federated-xgboost - Federated gradient boosted decision tree learning
MetisFL - The first open Federated Learning framework implemented in C++ and Python.
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
stable_signature - Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"