Robust Differentially Private Training of Deep Neural Networks
☆12Dec 10, 2020Updated 5 years ago
Alternatives and similar repositories for SIDP
Users that are interested in SIDP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- simple Differential Privacy in PyTorch☆49May 29, 2020Updated 6 years ago
- ☆10Aug 22, 2023Updated 2 years ago
- DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.☆23Sep 27, 2021Updated 4 years ago
- Automatic ReLU Reduction☆15Dec 20, 2023Updated 2 years ago
- ☆14Aug 10, 2025Updated 10 months ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Code for "How to Initialize your Network? Robust Initialization for WeightNorm & ResNets"☆14Oct 3, 2023Updated 2 years ago
- Repository for Federated Learning with Differential Privacy☆11May 28, 2022Updated 4 years ago
- ☆12Aug 22, 2023Updated 2 years ago
- R rr package for analyzing randomized response technique survey items☆13Jan 16, 2024Updated 2 years ago
- ☆22Nov 24, 2018Updated 7 years ago
- Official implementation of the paper "Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods", ECCV 2020.☆16Oct 22, 2020Updated 5 years ago
- Manipulation Architecture for Goal Planning, Inference, and Execution☆11Dec 16, 2025Updated 6 months ago
- ☆14May 4, 2024Updated 2 years ago
- ☆15Jun 5, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This repo contains the dataset for paper: Creating a Dataset Supporting Translation Between OpenMP Fortran and C++ Code☆15Dec 1, 2023Updated 2 years ago
- [ICML 2024] SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models☆22May 28, 2024Updated 2 years ago
- PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks☆15Nov 13, 2018Updated 7 years ago
- Demo code for CVPR 2016 paper: Learning a Discriminative Null Space for Person Re-identification☆13May 23, 2018Updated 8 years ago
- Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient☆21Nov 13, 2024Updated last year
- Models built with TensorFlow☆18Dec 15, 2020Updated 5 years ago
- Regeneration of Google's tpu-resnet tutorial☆11Aug 22, 2018Updated 7 years ago
- ☆12Oct 1, 2020Updated 5 years ago
- Exploring techniques to generate diverse conventions in multi-agent settings☆15Nov 14, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Research and experimental code related to Opacus, an open-source library for training PyTorch models with Differential Privacy☆18Oct 9, 2024Updated last year
- A benchmark cross clothes re-ID dataset☆12Sep 29, 2022Updated 3 years ago
- An environment for table-carrying, a joint-action cooperative task.☆10Jan 8, 2024Updated 2 years ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Jun 12, 2024Updated 2 years ago
- Introduction to Quantization☆20Mar 3, 2024Updated 2 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Jun 17, 2024Updated 2 years ago
- Code Repo for paper Label Leakage and Protection in Two-party Split Learning (ICLR 2022).☆22Mar 12, 2022Updated 4 years ago
- ☆11Jul 19, 2023Updated 2 years ago
- Unity app for teleoperating Reachy☆19Sep 12, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆16Jun 9, 2024Updated 2 years ago
- ☆16Jun 26, 2021Updated 5 years ago
- Source code of paper "Machine Learning for Load Balancing in the Linux Kernel"☆24Sep 21, 2020Updated 5 years ago
- ☆15May 14, 2026Updated last month
- ☆16Mar 30, 2023Updated 3 years ago
- This is a simple backdoor model for federated learning.We use MNIST as the original data set for data attack and we use CIFAR-10 data set…☆14Jun 19, 2020Updated 6 years ago
- Official Implementation of "LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference"☆25Nov 12, 2023Updated 2 years ago